Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-83-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-83-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Jan 2017
Research article |
| 05 Jan 2017
Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates
Joseph G. Alfieri
CORRESPONDING AUTHOR
US Department of Agriculture, Agricultural Research Service,
Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
Martha C. Anderson
US Department of Agriculture, Agricultural Research Service,
Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
William P. Kustas
US Department of Agriculture, Agricultural Research Service,
Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA
Carmelo Cammalleri
Joint Research Centre, European Commission, Ispra, Italy
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P. E. K. Campbell, K. F. Huemmrich, E. M. Middleton, J. Alfieri, C. van der Tol, and C. S. R. Neigh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-1-W1-2021, 1–8, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-1-2022, https://doi.org/10.5194/isprs-archives-XLVI-1-W1-2021-1-2022, 2022
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This paper describes a model inter-comparison and validation study conducted using sub-meter resolution thermal data from an aircraft. The model inter-comparison is between a physically based model and a very simple empirical model. The strengths and weaknesses of both modeling approaches for high-resolution mapping of water use in vineyards is described. The findings provide significant insight into the utility of complex versus simple models for precise water resources management.
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Manuscript not accepted for further review
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Watershed modeling is important to protect water resources. However, errors are involved in watershed modeling. To reduce errors, remotely sensed evapotranspiration data are widely used. However, the use of remotely sensed evapotranspiration data still includes errors. This study applied two remotely sensed data (evapotranspiration and leaf area index) into watershed modeling to reduce errors. The results showed advancement of watershed modeling by two remotely sensed data.
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Anam M. Khan, Paul C. Stoy, James T. Douglas, Martha Anderson, George Diak, Jason A. Otkin, Christopher Hain, Elizabeth M. Rehbein, and Joel McCorkel
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Remote sensing has played an important role in the study of land surface processes. Geostationary satellites, such as the GOES-R series, can observe the Earth every 5–15 min, providing us with more observations than widely used polar-orbiting satellites. Here, we outline current efforts utilizing geostationary observations in environmental science and look towards the future of GOES observations in the carbon cycle, ecosystem disturbance, and other areas of application in environmental science.
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Hydrol. Earth Syst. Sci., 25, 565–581, https://doi.org/10.5194/hess-25-565-2021, https://doi.org/10.5194/hess-25-565-2021, 2021
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Our study of flash droughts' definitions over the United States shows that published definitions yield markedly different inventories of flash drought geography and frequency. Results suggest there are several pathways that can lead to events that are characterized as flash droughts. Lack of consensus across definitions helps to explain apparent contradictions in the literature on trends and indicates the selection of a definition is important for accurate monitoring of different mechanisms.
Sangchul Lee, Gregory W. McCarty, Glenn E. Moglen, Haw Yen, Fangni Lei, Martha Anderson, Feng Gao, Wade Crow, In-Young Yeo, and Liang Sun
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Jason A. Otkin, Yafang Zhong, David Lorenz, Martha C. Anderson, and Christopher Hain
Hydrol. Earth Syst. Sci., 22, 5373–5386, https://doi.org/10.5194/hess-22-5373-2018, https://doi.org/10.5194/hess-22-5373-2018, 2018
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Correlation analyses were used to explore relationships between the Evaporative Stress Index (ESI) – which depicts anomalies in evapotranspiration (ET) – and various land and atmospheric variables that impact ET. The results revealed that the ESI is more strongly correlated to anomalies in soil moisture and near-surface vapor pressure deficit than to precipitation and temperature anomalies. Large regional and seasonal dependencies in the strengths of the correlations were also observed.
Vikalp Mishra, James F. Cruise, Christopher R. Hain, John R. Mecikalski, and Martha C. Anderson
Hydrol. Earth Syst. Sci., 22, 4935–4957, https://doi.org/10.5194/hess-22-4935-2018, https://doi.org/10.5194/hess-22-4935-2018, 2018
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Multiple satellite observations can be used for surface and subsurface soil moisture estimations. In this study, satellite observations along with a mathematical model were used to distribute and develop multiyear soil moisture profiles over the southeastern US. Such remotely sensed profiles become particularly useful at large spatiotemporal scales, can be a significant tool in data-scarce regions of the world, can complement various land and crop models, and can act as drought indicators etc.
Thomas R. H. Holmes, Christopher R. Hain, Wade T. Crow, Martha C. Anderson, and William P. Kustas
Hydrol. Earth Syst. Sci., 22, 1351–1369, https://doi.org/10.5194/hess-22-1351-2018, https://doi.org/10.5194/hess-22-1351-2018, 2018
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In an effort to apply cloud-tolerant microwave data to satellite-based monitoring of evapotranspiration (ET), this study reports on an experiment where microwave-based land surface temperature is used as the key diagnostic input to a two-source energy balance method for the estimation of ET. Comparisons of this microwave ET with the conventional thermal infrared estimates show widespread agreement in spatial and temporal patterns from seasonal to inter-annual timescales over Africa and Europe.
Wade T. Crow, Eunjin Han, Dongryeol Ryu, Christopher R. Hain, and Martha C. Anderson
Hydrol. Earth Syst. Sci., 21, 1849–1862, https://doi.org/10.5194/hess-21-1849-2017, https://doi.org/10.5194/hess-21-1849-2017, 2017
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Terrestrial water storage is defined as the total volume of water stored within the land surface and sub-surface and is a key variable for tracking long-term variability in the global water cycle. Currently, annual variations in terrestrial water storage can only be measured at extremely coarse spatial resolutions (> 200 000 km2) using gravity-based remote sensing. Here we provide evidence that microwave-based remote sensing of soil moisture can be applied to enhance this resolution.
Jordi Cristóbal, Anupma Prakash, Martha C. Anderson, William P. Kustas, Eugénie S. Euskirchen, and Douglas L. Kane
Hydrol. Earth Syst. Sci., 21, 1339–1358, https://doi.org/10.5194/hess-21-1339-2017, https://doi.org/10.5194/hess-21-1339-2017, 2017
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Quantifying trends in surface energy fluxes is crucial for forecasting ecological responses in Arctic regions.
An extensive evaluation using a thermal-based remote sensing model and ground measurements was performed in Alaska's Arctic tundra for 5 years. Results showed an accurate temporal trend of surface energy fluxes in concert with vegetation dynamics. This work builds toward a regional implementation over Arctic ecosystems to assess response of surface energy fluxes to climate change.
Yun Yang, Martha C. Anderson, Feng Gao, Christopher R. Hain, Kathryn A. Semmens, William P. Kustas, Asko Noormets, Randolph H. Wynne, Valerie A. Thomas, and Ge Sun
Hydrol. Earth Syst. Sci., 21, 1017–1037, https://doi.org/10.5194/hess-21-1017-2017, https://doi.org/10.5194/hess-21-1017-2017, 2017
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This work explores the utility of a thermal remote sensing based MODIS/Landsat ET data fusion procedure over a mixed forested/agricultural landscape in North Carolina, USA. The daily ET retrieved at 30 m resolution agreed well with measured fluxes in a clear-cut and a mature pine stand. An accounting of consumptive water use by land cover classes is presented, as well as relative partitioning of ET between evaporation (E) and transpiration (T) components.
Thomas R. H. Holmes, Christopher R. Hain, Martha C. Anderson, and Wade T. Crow
Hydrol. Earth Syst. Sci., 20, 3263–3275, https://doi.org/10.5194/hess-20-3263-2016, https://doi.org/10.5194/hess-20-3263-2016, 2016
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We test the cloud tolerance of two technologies to estimate land surface temperature (LST) from space: microwave (MW) and thermal infrared (TIR). Although TIR has slightly lower errors than MW with ground data under clear-sky conditions, it suffers increasing negative bias as cloud cover increases. In contrast, we find no direct impact of clouds on the accuracy and bias of MW-LST. MW-LST can therefore be used to improve TIR cloud screening and increase sampling in clouded regions.
Ting Xia, William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, Feng Gao, Lynn McKee, John H. Prueger, Hatim M. E. Geli, Christopher M. U. Neale, Luis Sanchez, Maria Mar Alsina, and Zhongjing Wang
Hydrol. Earth Syst. Sci., 20, 1523–1545, https://doi.org/10.5194/hess-20-1523-2016, https://doi.org/10.5194/hess-20-1523-2016, 2016
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This paper describes a model inter-comparison and validation study conducted using sub-meter resolution thermal data from an aircraft. The model inter-comparison is between a physically based model and a very simple empirical model. The strengths and weaknesses of both modeling approaches for high-resolution mapping of water use in vineyards is described. The findings provide significant insight into the utility of complex versus simple models for precise water resources management.
M. A. Schull, M. C. Anderson, R. Houborg, A. Gitelson, and W. P. Kustas
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C. Cammalleri, M. C. Anderson, and W. P. Kustas
Hydrol. Earth Syst. Sci., 18, 1885–1894, https://doi.org/10.5194/hess-18-1885-2014, https://doi.org/10.5194/hess-18-1885-2014, 2014
R. Guzinski, M. C. Anderson, W. P. Kustas, H. Nieto, and I. Sandholt
Hydrol. Earth Syst. Sci., 17, 2809–2825, https://doi.org/10.5194/hess-17-2809-2013, https://doi.org/10.5194/hess-17-2809-2013, 2013
J. Cristóbal and M. C. Anderson
Hydrol. Earth Syst. Sci., 17, 163–175, https://doi.org/10.5194/hess-17-163-2013, https://doi.org/10.5194/hess-17-163-2013, 2013
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Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
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Wen Wen, Joris Timmermans, Qi Chen, and Peter M. van Bodegom
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Abebe D. Chukalla, Marloes L. Mul, Pieter van der Zaag, Gerardo van Halsema, Evaristo Mubaya, Esperança Muchanga, Nadja den Besten, and Poolad Karimi
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New techniques to monitor the performance of irrigation schemes are vital to improve land and water productivity. We developed a framework and applied the remotely sensed FAO WaPOR dataset to assess uniformity, equity, adequacy, and land and water productivity at the Xinavane sugarcane estate, segmented by three irrigation methods. The developed performance assessment framework and the Python script in Jupyter Notebooks can aid in such irrigation performance analysis in other regions.
Dung Trung Vu, Thanh Duc Dang, Stefano Galelli, and Faisal Hossain
Hydrol. Earth Syst. Sci., 26, 2345–2364, https://doi.org/10.5194/hess-26-2345-2022, https://doi.org/10.5194/hess-26-2345-2022, 2022
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The lack of data on how big dams are operated in the Upper Mekong, or Lancang, largely contributes to the ongoing controversy between China and the other Mekong countries. Here, we rely on satellite observations to reconstruct monthly storage time series for the 10 largest reservoirs in the Lancang. Our analysis shows how quickly reservoirs were filled in, what decisions were made during recent droughts, and how these decisions impacted downstream discharge.
Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly
Hydrol. Earth Syst. Sci., 25, 4567–4584, https://doi.org/10.5194/hess-25-4567-2021, https://doi.org/10.5194/hess-25-4567-2021, 2021
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Accurate daily continental water balance predictions are valuable in monitoring and forecasting water availability and land surface conditions. A simple and robust method was developed for an operational water balance model to constrain model predictions temporally and spatially with satellite soil moisture observations. The improved soil water storage prediction can provide constraints in model forecasts that persist for several weeks.
Oliver Miguel López Valencia, Kasper Johansen, Bruno José Luis Aragón Solorio, Ting Li, Rasmus Houborg, Yoann Malbeteau, Samer AlMashharawi, Muhammad Umer Altaf, Essam Mohammed Fallatah, Hari Prasad Dasari, Ibrahim Hoteit, and Matthew Francis McCabe
Hydrol. Earth Syst. Sci., 24, 5251–5277, https://doi.org/10.5194/hess-24-5251-2020, https://doi.org/10.5194/hess-24-5251-2020, 2020
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The agricultural sector in Saudi Arabia has expanded rapidly over the last few decades, supported by non-renewable groundwater abstraction. This study describes a novel data–model fusion approach to compile national-scale groundwater abstractions and demonstrates its use over 5000 individual center-pivot fields. This method will allow both farmers and water management agencies to make informed water accounting decisions across multiple spatial and temporal scales.
Angel Martín, Sara Ibáñez, Carlos Baixauli, Sara Blanc, and Ana Belén Anquela
Hydrol. Earth Syst. Sci., 24, 3573–3582, https://doi.org/10.5194/hess-24-3573-2020, https://doi.org/10.5194/hess-24-3573-2020, 2020
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In the case study presented in this paper, the GNSS-IR technique was used to monitor soil moisture during 66 d, from 3 December 2018 to 6 February 2019, in the installations of the Cajamar Centre of Experiences, Paiporta, Valencia, Spain. Two main objectives were pursued. The first was the extension of the technique to a multi-constellation solution using GPS, GLONASS, and GALILEO satellites, and the second was to test whether mass-market sensors could be used for this technique.
Imeshi Weerasinghe, Wim Bastiaanssen, Marloes Mul, Li Jia, and Ann van Griensven
Hydrol. Earth Syst. Sci., 24, 1565–1586, https://doi.org/10.5194/hess-24-1565-2020, https://doi.org/10.5194/hess-24-1565-2020, 2020
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Water resource allocation to various sectors requires an understanding of the hydrological cycle, where evapotranspiration (ET) is a key component. Satellite-derived products estimate ET but are hard to evaluate at large scales. This work presents an alternate evaluation methodology to point-scale observations in Africa. The paper enables users to select an ET product based on their performance regarding selected criteria using a ranking system. The highest ranked products are WaPOR and CMRSET.
Melanie K. Vanderhoof, Jay R. Christensen, and Laurie C. Alexander
Hydrol. Earth Syst. Sci., 23, 4269–4292, https://doi.org/10.5194/hess-23-4269-2019, https://doi.org/10.5194/hess-23-4269-2019, 2019
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We evaluated trends (1984–2016) in riparian wetness across the Upper Missouri River headwaters basin during peak irrigation months (June, July and August). We found that 8 of the 19 riparian reaches across the basin showed a significant drying trend from 1984 to 2016. The temporal drying trends persisted after removing variability attributable to climate. Instead, the drying trends co-occurred with a shift towards center-pivot irrigation across the basin.
Sameer M. Shadeed, Tariq G. Judeh, and Mohammad N. Almasri
Hydrol. Earth Syst. Sci., 23, 1581–1592, https://doi.org/10.5194/hess-23-1581-2019, https://doi.org/10.5194/hess-23-1581-2019, 2019
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The paper aimed to develop DWP and DRWHS maps in the West Bank (Palestine) using an integrated GIS-based MCDA approach. The obtained maps will assist the decision makers to formulate proper strategies including the development of efficient and comprehensive water resource management strategies in trying to bridge the increasing water supply–demand gap for domestic purposes in the West Bank as a recognized area in the Dead Sea region which is facing a series water resource shortage challenges.
Fugen Li, Xiaozhou Xin, Zhiqing Peng, and Qinhuo Liu
Hydrol. Earth Syst. Sci., 23, 949–969, https://doi.org/10.5194/hess-23-949-2019, https://doi.org/10.5194/hess-23-949-2019, 2019
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This study proposes a simple but efficient model for estimating daily evapotranspiration considering heterogeneity of mixed pixels. In order to do so, an equation to calculate evapotranspiration fraction (EF) of mixed pixels was derived based on two key hypotheses. The model is easy to apply and is independent and easy to be embedded in the traditional remote sensing algorithms of heat fluxes to get daily ET.
Felix Zaussinger, Wouter Dorigo, Alexander Gruber, Angelica Tarpanelli, Paolo Filippucci, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 897–923, https://doi.org/10.5194/hess-23-897-2019, https://doi.org/10.5194/hess-23-897-2019, 2019
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About 70 % of global freshwater is consumed by irrigation. Yet, policy-relevant estimates of irrigation water use (IWU) are virtually lacking at regional to global scales. To bridge this gap, we develop a method for quantifying IWU from a combination of state-of-the-art remotely sensed and modeled soil moisture products and apply it over the United States for the period 2013–2016. Overall, our estimates agree well with reference data on irrigated area and irrigation water withdrawals.
Philippe Cattan, Jean-Baptiste Charlier, Florence Clostre, Philippe Letourmy, Luc Arnaud, Julie Gresser, and Magalie Jannoyer
Hydrol. Earth Syst. Sci., 23, 691–709, https://doi.org/10.5194/hess-23-691-2019, https://doi.org/10.5194/hess-23-691-2019, 2019
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We investigated the management of long-term environmental pollution by organochlorine pesticides. We selected the case of chlordecone on the island of Martinique. We propose a conceptual model of organochlorine fate accounting for physical conditions relative to soils and geology. This model explains pollution variability in water but also the dynamics of pollution trends. It helps to identify risky areas where pollution will last for a long time and where more attention is needed.
Anoop Kumar Shukla, Shray Pathak, Lalit Pal, Chandra Shekhar Prasad Ojha, Ana Mijic, and Rahul Dev Garg
Hydrol. Earth Syst. Sci., 22, 5357–5371, https://doi.org/10.5194/hess-22-5357-2018, https://doi.org/10.5194/hess-22-5357-2018, 2018
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In this study, we carried out a comparative evaluation of water yield using two approaches, the Lumped Zhang model and the pixel-based approach. Even in pixel-level computations, experiments are made with existing models of some of the involved parameters. The study indicates not only the suitability of pixel-based computations but also clarifies the suitable model of some of the parameters to be used with pixel-based computations to obtain better results.
Anoop Kumar Shukla, Chandra Shekhar Prasad Ojha, Ana Mijic, Wouter Buytaert, Shray Pathak, Rahul Dev Garg, and Satyavati Shukla
Hydrol. Earth Syst. Sci., 22, 4745–4770, https://doi.org/10.5194/hess-22-4745-2018, https://doi.org/10.5194/hess-22-4745-2018, 2018
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Geospatial technologies and OIP are promising tools to study the effect of demographic changes and LULC transformations on the spatiotemporal variations in the water quality (WQ) across a large river basin. Therefore, this study could help to assess and solve local and regional WQ-related problems over a river basin. It may help the policy makers and planners to understand the status of water pollution so that suitable strategies could be planned for sustainable development in a river basin.
Melanie K. Vanderhoof, Charles R. Lane, Michael G. McManus, Laurie C. Alexander, and Jay R. Christensen
Hydrol. Earth Syst. Sci., 22, 1851–1873, https://doi.org/10.5194/hess-22-1851-2018, https://doi.org/10.5194/hess-22-1851-2018, 2018
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Effective monitoring and prediction of flood and drought events requires an improved understanding of surface water dynamics. We examined how the relationship between surface water extent, as mapped using Landsat imagery, and climate, is a function of landscape characteristics, using the Prairie Pothole Region and adjacent Northern Prairie in the United States as our study area. We found that at a landscape scale wetlands play a key role in informing how climate extremes influence surface water.
Mariana Madruga de Brito, Mariele Evers, and Adrian Delos Santos Almoradie
Hydrol. Earth Syst. Sci., 22, 373–390, https://doi.org/10.5194/hess-22-373-2018, https://doi.org/10.5194/hess-22-373-2018, 2018
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This paper sheds light on the integration of interdisciplinary knowledge in the assessment of flood vulnerability in Taquari-Antas river basin, Brazil. It shows how stakeholder participation is crucial for increasing not only the acceptance of model results but also its quality.
Nicolas Avisse, Amaury Tilmant, Marc François Müller, and Hua Zhang
Hydrol. Earth Syst. Sci., 21, 6445–6459, https://doi.org/10.5194/hess-21-6445-2017, https://doi.org/10.5194/hess-21-6445-2017, 2017
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Information on small reservoir storage is crucial for water management in a river basin. However, it is most of the time not freely available in remote, ungauged, or conflict-torn areas. We propose a novel approach using satellite imagery information only to quantitatively estimate storage variations in such inaccessible areas. We apply the method to southern Syria, where ground monitoring is impeded by the ongoing civil war, and validate it against in situ measurements in neighbouring Jordan.
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Abdalhaleem A. Hassaballa, and Virupakshagouda C. Patil
Hydrol. Earth Syst. Sci., 21, 6135–6151, https://doi.org/10.5194/hess-21-6135-2017, https://doi.org/10.5194/hess-21-6135-2017, 2017
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In view of the pressing need to assess the productivity of agricultural fields in Saudi Arabia, this study was undertaken in an attempt to apply the METRIC model with Landsat-8 imagery for the determination of spatial and temporal variability in ET aiming at optimizing the quantification of crop water requirement and the formulation of efficient irrigation schedules. This paper will be of great interest to readers in the areas of agriculture (in general), water management and remote sensing.
Clara Linés, Micha Werner, and Wim Bastiaanssen
Hydrol. Earth Syst. Sci., 21, 4747–4765, https://doi.org/10.5194/hess-21-4747-2017, https://doi.org/10.5194/hess-21-4747-2017, 2017
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This paper aims at identifying Earth observation data sets that can help river basin managers detect drought conditions that may lead to impacts early enough to take mitigation actions. Six remote sensing products were assessed using two types of impact data as a benchmark: media records from a regional newspaper and crop yields. Precipitation, vegetation condition and evapotranspiration products showed the best results, offering early signs of impacts up to 6 months before the reported damages.
Zeinab Takbiri, Ardeshir M. Ebtehaj, and Efi Foufoula-Georgiou
Hydrol. Earth Syst. Sci., 21, 2685–2700, https://doi.org/10.5194/hess-21-2685-2017, https://doi.org/10.5194/hess-21-2685-2017, 2017
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We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and temporal resolution. While visible bands provide flood mapping at fine spatial resolution, their capability is very limited in a cloudy sky. Passive microwaves can penetrate through clouds but cannot detect small-scale flooded surfaces due to their coarse resolution. The proposed method takes advantage of these two observations to retrieve sub-pixel flooded surfaces in all-sky conditions.
Yan Zhao, Yongping Wei, Shoubo Li, and Bingfang Wu
Hydrol. Earth Syst. Sci., 20, 4469–4481, https://doi.org/10.5194/hess-20-4469-2016, https://doi.org/10.5194/hess-20-4469-2016, 2016
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The paper finds that combined inflow from both current and previous years' discharge determines water availability in downstream regions. Temperature determines broad vegetation distribution while hydrological variables show significant effects only in near-river-channel regions. Agricultural development curtailed further vegetation recovery in the studied area. Enhancing current water allocation schemes and regulating regional agricultural activities are required for future restoration.
Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, and Richard De Jeu
Hydrol. Earth Syst. Sci., 20, 4191–4208, https://doi.org/10.5194/hess-20-4191-2016, https://doi.org/10.5194/hess-20-4191-2016, 2016
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Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.
Behzad Hessari, Adriana Bruggeman, Ali Mohammad Akhoond-Ali, Theib Oweis, and Fariborz Abbasi
Hydrol. Earth Syst. Sci., 20, 1903–1910, https://doi.org/10.5194/hess-20-1903-2016, https://doi.org/10.5194/hess-20-1903-2016, 2016
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Yields of rainfed winter crops such as wheat can be substantially improved with limited supplemental irrigation. The upper Karkheh River basin in Iran has 15 840 km2 of rainfed crops. A GIS method was designed to identify suitable areas for irrigation and a routine was developed to allocate water uses and route the flows downstream. A maximum of 13 % of the rainfed cropland could be irrigated under normal flow, 9 % if environmental flow requirements are considered and 6 % under drought conditions.
Ting Xia, William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, Feng Gao, Lynn McKee, John H. Prueger, Hatim M. E. Geli, Christopher M. U. Neale, Luis Sanchez, Maria Mar Alsina, and Zhongjing Wang
Hydrol. Earth Syst. Sci., 20, 1523–1545, https://doi.org/10.5194/hess-20-1523-2016, https://doi.org/10.5194/hess-20-1523-2016, 2016
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This paper describes a model inter-comparison and validation study conducted using sub-meter resolution thermal data from an aircraft. The model inter-comparison is between a physically based model and a very simple empirical model. The strengths and weaknesses of both modeling approaches for high-resolution mapping of water use in vineyards is described. The findings provide significant insight into the utility of complex versus simple models for precise water resources management.
P. Karimi and W. G. M. Bastiaanssen
Hydrol. Earth Syst. Sci., 19, 507–532, https://doi.org/10.5194/hess-19-507-2015, https://doi.org/10.5194/hess-19-507-2015, 2015
P. Karimi, W. G. M. Bastiaanssen, A. Sood, J. Hoogeveen, L. Peiser, E. Bastidas-Obando, and R. J. Dost
Hydrol. Earth Syst. Sci., 19, 533–550, https://doi.org/10.5194/hess-19-533-2015, https://doi.org/10.5194/hess-19-533-2015, 2015
F. Baup, F. Frappart, and J. Maubant
Hydrol. Earth Syst. Sci., 18, 2007–2020, https://doi.org/10.5194/hess-18-2007-2014, https://doi.org/10.5194/hess-18-2007-2014, 2014
C. Cammalleri, M. C. Anderson, and W. P. Kustas
Hydrol. Earth Syst. Sci., 18, 1885–1894, https://doi.org/10.5194/hess-18-1885-2014, https://doi.org/10.5194/hess-18-1885-2014, 2014
J. L. Stein, M. F. Hutchinson, and J. A. Stein
Hydrol. Earth Syst. Sci., 18, 1917–1933, https://doi.org/10.5194/hess-18-1917-2014, https://doi.org/10.5194/hess-18-1917-2014, 2014
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
O. Merlin
Hydrol. Earth Syst. Sci., 17, 3623–3637, https://doi.org/10.5194/hess-17-3623-2013, https://doi.org/10.5194/hess-17-3623-2013, 2013
R. Guzinski, M. C. Anderson, W. P. Kustas, H. Nieto, and I. Sandholt
Hydrol. Earth Syst. Sci., 17, 2809–2825, https://doi.org/10.5194/hess-17-2809-2013, https://doi.org/10.5194/hess-17-2809-2013, 2013
X. M. Feng, G. Sun, B. J. Fu, C. H. Su, Y. Liu, and H. Lamparski
Hydrol. Earth Syst. Sci., 16, 2617–2628, https://doi.org/10.5194/hess-16-2617-2012, https://doi.org/10.5194/hess-16-2617-2012, 2012
N. Baghdadi, R. Cresson, M. El Hajj, R. Ludwig, and I. La Jeunesse
Hydrol. Earth Syst. Sci., 16, 1607–1621, https://doi.org/10.5194/hess-16-1607-2012, https://doi.org/10.5194/hess-16-1607-2012, 2012
J. Van doninck, J. Peters, H. Lievens, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 16, 773–786, https://doi.org/10.5194/hess-16-773-2012, https://doi.org/10.5194/hess-16-773-2012, 2012
R. R. E. Vernimmen, A. Hooijer, Mamenun, E. Aldrian, and A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 16, 133–146, https://doi.org/10.5194/hess-16-133-2012, https://doi.org/10.5194/hess-16-133-2012, 2012
G.-J. Yang, C.-J. Zhao, W.-J. Huang, and J.-H. Wang
Hydrol. Earth Syst. Sci., 15, 2317–2326, https://doi.org/10.5194/hess-15-2317-2011, https://doi.org/10.5194/hess-15-2317-2011, 2011
J. Negrel, P. Kosuth, and N. Bercher
Hydrol. Earth Syst. Sci., 15, 2049–2058, https://doi.org/10.5194/hess-15-2049-2011, https://doi.org/10.5194/hess-15-2049-2011, 2011
R. Fieuzal, B. Duchemin, L. Jarlan, M. Zribi, F. Baup, O. Merlin, O. Hagolle, and J. Garatuza-Payan
Hydrol. Earth Syst. Sci., 15, 1117–1129, https://doi.org/10.5194/hess-15-1117-2011, https://doi.org/10.5194/hess-15-1117-2011, 2011
F. Baup, E. Mougin, P. de Rosnay, P. Hiernaux, F. Frappart, P. L. Frison, M. Zribi, and J. Viarre
Hydrol. Earth Syst. Sci., 15, 603–616, https://doi.org/10.5194/hess-15-603-2011, https://doi.org/10.5194/hess-15-603-2011, 2011
M. Zribi, A. Chahbi, M. Shabou, Z. Lili-Chabaane, B. Duchemin, N. Baghdadi, R. Amri, and A. Chehbouni
Hydrol. Earth Syst. Sci., 15, 345–358, https://doi.org/10.5194/hess-15-345-2011, https://doi.org/10.5194/hess-15-345-2011, 2011
L. A. Gibson, Z. Münch, and J. Engelbrecht
Hydrol. Earth Syst. Sci., 15, 295–310, https://doi.org/10.5194/hess-15-295-2011, https://doi.org/10.5194/hess-15-295-2011, 2011
H. Lievens, N. E. C. Verhoest, E. De Keyser, H. Vernieuwe, P. Matgen, J. Álvarez-Mozos, and B. De Baets
Hydrol. Earth Syst. Sci., 15, 151–162, https://doi.org/10.5194/hess-15-151-2011, https://doi.org/10.5194/hess-15-151-2011, 2011
D. Courault, R. Hadria, F. Ruget, A. Olioso, B. Duchemin, O. Hagolle, and G. Dedieu
Hydrol. Earth Syst. Sci., 14, 1731–1744, https://doi.org/10.5194/hess-14-1731-2010, https://doi.org/10.5194/hess-14-1731-2010, 2010
M. El Haj Tahir, A. Kääb, and C.-Y. Xu
Hydrol. Earth Syst. Sci., 14, 1167–1178, https://doi.org/10.5194/hess-14-1167-2010, https://doi.org/10.5194/hess-14-1167-2010, 2010
Cited articles
Abdelghani, C., Hoedjes, J. C. B., Rodriquez, J.-C., Watts, C. J., Garatuza, J., Jacob, F., and Kerr, Y. H.: Using remotely sensed data to estimate area-averaged daily surface fluxes over a semi-arid mixed agricultural land, Agr. Forest Meteorol., 148, 330–342, 2008.
Abu-Hamdeh, N. H.: Thermal Properties of soils as affected by density and water content, Biosyst. Eng., 86, 97–102, 2003.
Alfieri, J. G., Blanken, P. D., Yates, D. N., and Steffen, K.: Variability in the Environmental Factors Driving Evapotranspiration from a Grazed Rangeland during Severe Drought Conditions, J. Hydrometeorol., 8, 207–220, 2007.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration, Guideline for computing crop water requirements, FAO irrigation and drainage paper no. 56, Rome, Italy, 326 pp., 1998.
Allen, R. G., Tasumi, M., and Trezza, R.: Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model, J. Irrig. Drain. Eng.-ASCE, 133, 380–394, 2007.
Alves, I. and Pereira, L. S.: Modeling surface resistance from climatic variables?, Agr. Water Manage., 42, 371–385, 2000.
Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. A., and Kustas, W. P.: A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology, J. Geophys. Res., 112, D11112, https://doi.org/10.1029/2006JD007507, 2007.
Anderson, M. C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J. R., and Kustas, W. P.: Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States, J. Climate, 15, 2025–2044, 2011.
Anderson, M. C., Allen, R. G., Morse, A., and Kustas, W. P.: Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources, Remote Sens. Environ., 122, 56–65, 2012.
Anderson, M. C., Zolin, C. A., Sentelhas, P. C., Hain, H. R., Semmens, K., Tugrul Yilmaz, M., Gao, F., Otkin, J. A., and Tetrault, R.: The evaporative stress index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts, Remote Sens. Environ., 174, 82–99, 2016.
Asner, G.: Biophysical and biochemical sources of variability in canopy reflectance, Remote Sens. Environ., 64, 234–253, 1998.
Baker, J. and Griffis, T.: AmeriFlux US-Ro1 Rosemount- G21, http://sites.ameriflux.lbl.gov/US-Ro1/ (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246092, 2002.
Baldocchi, D.: AmeriFlux US-Var Vaira Ranch, http://sites.ameriflux.lbl.gov/US-Var/ (last access: 3 January 2017), https://doi.org/10.17190/AMF/1245984, 2000.
Baldocchi, D.: AmeriFlux US-Ton Tonzi Ranch, http://sites.ameriflux.lbl.gov/US-Ton/ (last access: 3 January 2017), https://doi.org/10.17190/AMF/1245971, 2001.
Baldocchi, D., Falge, E., Gu, L. H., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W., Paw, K. T., Pilegaard, K., Schmid, H. P., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wolfsy, S.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem–scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415–2434, 2001.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation, J. Hydrol., 212–213, 198–212, 1998.
Bird, R. E. and Riordan, C.: Simple solar spectral model for direct and diffuse irradiance on horizontal and tilted planes at the earth's surface for cloudless atmosphere, J. Clim. Appl. Meteorol., 25, 87–96, 1986.
Blanken, P.: AmeriFlux US-NR1 Niwot Ridge Forest, http://sites.ameriflux.lbl.gov/US-NR1/ (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246088, 1998.
Brunsell, N.: AmeriFlux US-Kon Konza Prairie LTER, http://sites.ameriflux.lbl.gov/US-Kon (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246068, 2006.
Brutsaert, W.: On a derivable formula for longwave radiation from clear skies, Water Resour. Res., 11, 742–744, 1975.
Brutsaert, W. and Sugita, M.: Application of self-preservation in the diurnal evolution of the surface energy budget to determine daily evaporation, J. Geophys. Res., 97, 18377–18382, 1992.
Burt, J. E. and Barber, G. M.: Elementary statistics for Geographers. Guilford Press, New York, USA, 1996.
Cammalleri, C., Anderson, M. C., Gao, F., Hain, C. R., and Kustas, W. P.: A data fusion approach for mapping daily evapotranspiration at field scale, Water Resour. Res., 49, 4672–4686, 2013.
Cammalleri, C., Anderson, M. C., and Kustas, W. P.: Upscaling of evapotranspiration fluxes from instantaneous to daytime scales for thermal remote sensing applications, Hydrol. Earth Syst. Sci., 18, 1885–1894, https://doi.org/10.5194/hess-18-1885-2014, 2014.
Chavez, J. L., Neale, C. M. U., Prueger, J. H., and Kustas, W. P.: Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values, Irrigation Sci., 27, 67–81, 2008.
Colaizzi, P. D., Evett, S. R., Howell, T. A., and Tolk, J. A.: Comparison of five models to scale daily evapotranspiration from one-time-of-day measurements, T. ASABE, 49, 1409–1417, 2006.
Crago, R.: Conservation and variability of the evaporative fraction during the daytime, J. Hydrol., 180, 173–194, 1996.
Crago, R. D. and Brutsaert, W.: Daytime evaporation and the self-preservation of the evaporative fraction and the Bowen ratio, J. Hydrol., 178, 241–255, 1996.
De Boor, C.: A Practical Guide to Splines. Springer-Verlag, New York, USA, 1994.
de Fraiture, C. and Wichelns, D.: Satisfying future water demands for agriculture, Agr. Water. Manage., 97, 502–511, 2010.
Delogu, E., Boulet, G., Olioso, A., Coudert, B., Chirouze, J., Ceschia, E., Le Dantec, V., Marloie, O., Chehbouni, G., and Lagouarde, J.-P.: Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass, Hydrol. Earth Syst. Sci., 16, 2995–3010, https://doi.org/10.5194/hess-16-2995-2012, 2012.
Droogers, P., Immerzeel, W. W., and Lorite, I. J.: Estimating actual irrigation application by remotely sensed evapotranspiration observations, Agr. Water Manage., 97, 1351–1359, 2010.
Farah, H. O., Bastiaanssen, W. G. M., and Feddes, R. A.: Evaluation of the temporal variability of the evaporative fraction in a tropical watershed, Int. J. Appl. Earth Obs., 5, 129–140, 2004.
Farquhar, G. D. and Sharkey, T. D.: Stomatal conductance and photosynthesis, Annu. Rev. Plant Phys., 33, 317–345, 1982.
Friedl, M. A. and Davis, F. W.: Sources of variation in radiometric surface temperature over a tallgrass prairie, Remote Sens. Environ., 48, 1–17, 1994.
Gentine, P., Entekhabi, D., Chehbouni, A., Boulet, G., and Duchemin, B.: Analysis of evaporative fraction diurnal behavior, Agr. Forest Meteorol., 143, 13–29, 2007.
Gonzalez-Dugo, M. P., Neale, C. M. U., Mateos, L., Kustas, W. P., Prueger, J. H., Anderson, M. C., and Li, F.: A comparison of operational remote sensing-based models for estimating crop evapotranspiration, Agr. Forest Meteorol., 149, 1843–1853, 2009.
Gordon, L. J., Finlayson, C., and Falkenmark, M.: Managing water in agriculture for food production and other ecosystem services, Agr. Water. Manage., 97, 512–519, 2010.
Hawkins, B. A. and Porter, E. E.: Relative influences of current and historical factors on mammal and bird diversity patterns in deglaciated North America, Global Ecol. Biogeogr., 12, 475–481, 2003.
Hoedjes, J. C. B., Chehbouni, A., Jacob, F., Ezzahar, J., and Boulet, G.: Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco, J. Hydrol., 354, 53–64, 2008.
Howell, T. A.: Enhancing water use efficiency in irrigated agriculture, Agron. J., 93, 281–289, 2001.
Jackson, R. D., Hatfield, J. L., Reginato, R. J., Idso, S. B., and Pinter Jr., P. L.: Estimation of daily evapotranspiration from one time-of-day measurements, Agr. Water Manage., 7, 351–362, 1983.
Kalma, J. D., McVicar, T. R., and McCabe, M. D.: Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data, Surv. Geophys., 29, 421–469, 2008.
Katul, G. G., Oren, R., Manzano, S., Higgins, C., and Parlange, M. B.: Evapotranspiration: A process driving mass transport and energy exchange in the soil-plant-atmosphere-climate system, Rev. Geophys., 50, RG3002, https://doi.org/10.1029/2011RG000366, 2012.
Kreft, H. and Jetz, W.: Global patterns and determinants of vascular plant diversity, P. Natl. Acad. Sci. USA, 104, 5925–5930, 2007.
Kustas, W. P., Prueger, J. H., Hatfield, J. L., Ramalingan, K., and Hipps, L. E.: Variability in soil heat flux from a mesquite dune site, Agr. Forest Meteorol., 103, 249–264, 2000.
Legates, D. R. and McCabe, G. R.: Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation, Water Resour. Res., 35, 233–241, 1999.
Lhomme, J.-P. and Elguero, E.: Examination of evaporative fraction diurnal behaviour using a soil-vegetation model coupled with a mixed-layer model, Hydrol. Earth Syst. Sci., 3, 259–270, https://doi.org/10.5194/hess-3-259-1999, 1999.
Litvak, M.: AmeriFlux US-FR2 Freeman Ranch Mesquite Juniper, http://sites.ameriflux.lbl.gov/US-FR2 (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246054, 2004.
Lobell, D. B. and Asner, G. P.: Moisture effects on soil reflectance, Soil Sci. Soc. Am. J., 66, 722–727, 2002.
Lu, J., Tang, R., Tang, H., and Li, Z.-L.: Derivation of daily evaporative fraction based on temporal variations in surface temperature, air temperature, and net radiation, Remote Sensing, 5, 5369–5396, 2013.
Matamala, R.: AmeriFlux US-IB1 Fermi National Laboratory Agriculture, http://sites.ameriflux.lbl.gov/US-IB1 (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246065, 2004.
Matamala, R.: AmeriFlux US-IB2 Fermi National Laboratory Prairie, http://sites.ameriflux.lbl.gov/US-IB2 (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246066, 2005.
McCabe, M. F., Wood, E., Wojcik, R., Pan, M., Sheffeld, J., Gao, H., and Su, H.: Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies, Remote Sens. Environ., 112, 430–444, 2008.
McNaughton, K. G.: Evaporation and advection I: evaporation from extensive homogeneous surfaces, Q. J. Roy. Meteor. Soc., 102, 181–191, 1976.
Meeus, J.: Astronomical algorithms, Willmann-Bell, Richmond, Virginia, USA, 1991.
Meyers, T.: AmeriFlux US-WBW Walker Branch, http://sites.ameriflux.lbl.gov/US-WBW/ (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246109, 1995.
Meyers, T.: AmeriFlux US-Bo1 Bondville, http://sites.ameriflux.lbl.gov/US-Bo1 (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246036, 1996.
Meyers, T.: AmeriFlux US-Bkg Brookings, http://sites.ameriflux.lbl.gov/US-Bkg (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246040, 2004.
Meyers, T.: AmeriFlux US-ChR Chestnut Ridge, http://sites.ameriflux.lbl.gov/US-ChR (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246044, 2005.
Midgley, G. F., Hannah, L., Millar, D., Rutherford, M. C., and Powrie, L. W.: Assessing the vulnerability of species richness to anthropogenic climate change in a biodiversity hotspot, Global Ecol. Biogeogr., 11, 445–451, 2002.
Moler, C.: Numerical Computing with Matlab, SIAM Publishing, Philadelphia, 2004.
Myneni, R., Ross, J., and Asner, G.: A review on the theory of photon transport in leaf canopies, Agr. Forest Meteorol., 45, 1–153, 1989.
Nichols, W. and Cuenca, R. H.: Evaluation of the evaporative fraction for parameterization of the surface, energy-balance, Water Resour. Res., 29, 3681–3690, 1993.
Novick, K. and Phillips, R.: AmeriFlux US-MMS Morgan Monroe, http://sites.ameriflux.lbl.gov/US-MMS/ (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246080, 1999.
Otkin, J. A., Anderson, M. C., Hain, C., Svoboda, M., Johnson, D., Mueller, R., Tadess, T., Wardlow, B., and Brown, J.: Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought, Agr. Forest Meteorol., 218–219, 230–242, 2016.
Peng, J., Borsche, M., Liu, Y., and Loew, A.: How representative are instantaneous evaporative fraction measurements of daytime fluxes?, Hydrol. Earth Syst. Sci., 17, 3913–3919, https://doi.org/10.5194/hess-17-3913-2013, 2013.
Prueger, J. and Parkin, T.: AmeriFlux US-Br1 Brooks Field Site 10, http://sites.ameriflux.lbl.gov/US-Br1 (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246038, 2001.
Qadir, M., Boers, T. M., Schubert, S., Ghafoor, A., and Murtaza, G.: Agricultural water management in water-starved countries: challenges and opportunities, Agr. Water Manage., 62, 165–85, 2003.
Raupach, M: Combination theory and equilibrium evaporation, Q. J. Roy. Meteor. Soc., 127, 1149–1181, 2001.
Ryu, Y., Baldocchi, D. D., Black, T. A., Detto, M., Law, B. E., Leuning, R., Miyata, A., Reichstein, M., Vargas, R., Ammann, C., Beringer, J., Flanagan, L. B., Gu, L., Hutley, L. B., Kim, J., McCaughey, H., Moors, E. J., Rambal, S., and Vesala, T.: On the temporal upscaling of evapotranspiration from instantaneous remote sensing measurements to 8-day mean daily-sums, Agr. Forest Meteorol., 152, 212–222, 2012.
Santanello, J. S. and Friedl, M. A.: Diurnal covariation in soil heat flux and net radiation, J. Appl. Meteorol., 42, 851–862, 2003.
Schultz, B. and De Wrachien, D.: Irrigation and drainage systems research and development in the 21st century, Irrig. Drain. Sci., 51, 311–327, 2002.
Scott, R.: AmeriFlux US-SRM Santa Rita Mesquite, http://sites.ameriflux.lbl.gov/US-SRM/ (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246104, 2004a.
Scott, R.: AmeriFlux US-Wkg Walnut Gulch Kendall Grasslands, http://sites.ameriflux.lbl.gov/US-Wkg (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246112, 2004b.
Scott, R.: AmeriFlux US-Whs Walnut Gulch Lucky Hills Shrub, http://sites.ameriflux.lbl.gov/US-Whs (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246113, 2007.
Scott, R. L., Edwards, E. A., Shutleworth, W. J., Huxman, T., Watts, C., and Goodrich, D. C.: Interannual and seasonal variation in fluxes of water and carbon dioxide from a riparian woodland ecosystem, Agr. Forest Meteorol., 122, 65–84, 2014.
Seguin, B. and Itier, B.: Using midday surface-temperature to estimate daily evaporation from satellite thermal IR data, Int. J. Remote Sens., 4, 371–383, 1983.
Song, J.: Phenological influences of the albedo of prairie grasslands and crop fields, Int. J. Biometeorol., 42, 153–157, 1999.
Stoy, P., Oishi, C., and Novick, K.: AmeriFlux US-Dk3 Duke Forest, http://sites.ameriflux.lbl.gov/US-Dk3 (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246048, 2001.
Suleiman, A. and Crago, R. D.: Hourly and daytime evapotranspiration from grassland using radiometric surface temperatures, Agron. J., 96, 384–390, 2004.
Suyker, A.: AmeriFlux US-Ne1 Mead, http://sites.ameriflux.lbl.gov/US-NE1/ (last access: 3 January 2017), https://doi.org/10.17190/AMF/1246084, 2001.
Tasumi, M., Allen, R. G., Trezza, R., and Wright, J. L.: Satellite-based energy balance to assess within-population variance of crop coefficient curves, J. Irrig. Drain., 131, 94–109, 2005.
Thenkabail, P. S., Hanjra, M. A., Dheeravath, V., and Gumma, M.: Global croplands and their water use from remote sensing and nonremote sensing perspectives, in: Advances in environmental remote sensing: sensors, algorithms and applications, edited by: Weng, Q., Taylor and Francis, CRC Press, Boca Raton, Florida, USA, 383–420, 2010.
Trefethen, L. N.: Approximation theory and approximation practice, SIAM books, Philadelphia, Pennsylvania, USA, 2013.
Twine, T. E., Kustas, W. P., Norman, J. M., Cook, D. R., Houser, P. R., Meyer, T. P., Prueger, J. H., Starks, P. J., and Wesely, M. L.: Correcting eddy covariance flux underestimates over a grassland, Agr. Forest Meteorol., 103, 279–300, 2000.
Van de Griend, A. A. and Owe, M.: Bare soil surface resistance to evaporation by vapor diffusion under semiarid conditions, Water Resour. Res., 30, 181–188, 1994.
Van Niel, T. G., McVicar, T. R., Roderick, M. L., van Dijk, A. I. J. M., Renzullo, L. J., and van Gorsel, E.: Correcting for systematic error in satellite-derived latent heat flux due to assumptions in temporal scaling: assessment from flux tower observations, J. Hydrol., 409, 140–148, 2011.
Van Niel, T. G., McVicar, T. R., Roderick, M. L., van Djik, A. I. J. M., Beringer, J., Hutley, L. B., and van Gorsel, E.: Upscaling latent heat flux for thermal remote sensing studies: Comparison of alternative approaches and correction of bias, J. Hydrol., 468–469, 35–46, 2012.
Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., Glidden, S., Bunn, S. E., Sullivan, C. A., Liermann, C. R., and Davies, P. M.: Global threats to human water security and river biodiversity, Nature, 467, 555–561, 2010.
Wallace, J. S.: Increasing agricultural water use efficiency to meet future food production, Agr. Ecosyst. Environ., 82, 105–19, 2000.
Walter, I. A., Allen, R. G., Elliott, R. L., Itenfisu, D., Brown, P., Jensen, M. E., Mecham, B., Howell, T. A., Snyder, R., Echings, S., Spofford, T., Hattendorf, M., Martin, D. L., Cuenca, R. H., and Wright, J. L.: The ASCE Standardized Reference Evapotranspiration Equation, Technical Committee report to the Environmental and Water Resources Institute of the American Society of Civil Engineers from the Task Committee on Standardization of Reference Evapotranspiration, Reston, VA, 173 pp., 2005.
Wang, K. and Dickinson, R. E.: A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability, Rev. Geophys., 50, RG2005, https://doi.org/10.1029/2011RG000373, 2012.
Williams, M., Malhi, Y., Nobre, A. D., Rastetter, B., Grace, J., and Pereira, P.: Seasonal variation in net carbon exchange and evapotranspiration in a Brazilian rain forest: a modelling analysis, Plant Cell Environ., 21, 953–968, 2003.
Willmott, C. and Matsuura, K.: Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance, Climate Res., 30, 79–82, 2005.
Willmott, C., Robeson, S. M., and Matsuura, K.: A refined index of model performance, Int. J. Climatol., 32, 2088–2094, 2012.
Wilks, W. S.: Statistical Methods in the Atmospheric Sciences, Academic Press, Burlington, Massachusetts, USA, 2006.
Wittich, K. P.: Some simple relationships between land-surface emissivity, greenness and the plant cover fraction for use in satellite remote sensing, Int. J. Biometeorol., 41, 58–64, 1997.
Wood, J. and Lainhong, G.: AmeriFlux US-MOz Missouri Ozark Site, http://sites.ameriflux.lbl.gov/US-MOz/(last access: 3 January 2017), https://doi.org/10.17190/AMF/1246081, 2004.
Zhang, L. and Lemeur, R.: Evaluation of daily evapotranspiration estimates from instantaneous measurements, Agr. Forest Meteorol., 74, 139–154, 1995.
