Journal ArticleDOI
Agricultural Reference Index for Drought (ARID)
TLDR
In this paper, the Agricultural Reference Index for Drought (ARID) was developed as a reference index to approximate the water stress factor that is used to affect growth and other physiological processes in crop simulation models.Abstract:
Several drought indices are available to compute the degree of drought to which crops are exposed. They vary in complexity, generality, and the adequacy with which they represent processes in the soil, plant, and atmosphere. Agricultural Reference Index for Drought (ARID) was developed as a reference index to approximate the water stress factor that is used to affect growth and other physiological processes in crop simulation models. Using RMSE, Willmott d index, and modeling efficiency (ME) as performance measures, ARID was evaluated using soil water contents in the root zone measured daily in two grass fields in Florida. The ability of ARID was assessed through comparison with the water deficit index (WSPD) of the Decision Support System for Agrotechnology Transfer (DSSAT) CERES-Maize model. Seven other drought indices were compared with WSPD to identify the most appropriate agricultural drought index. Values of each index were computed for full canopy cover periods of maize (Zea mays L.) crops for 16 locations in the U.S. Southeast. Using periodic values, the performance of each index was assessed in terms of its correlation (r) with and departure from WSPD. The ARID reasonably predicted soil water contents (RMSE = 0.01–0.019, d index = 0.92–0.94, ME = 0.66–0.73) and adequately approximated WSPD (r = 0.90, RMSE = 0.15). Among the indices compared, ARID mimicked WSPD the most closely (RMSE smaller by 1–83%, r larger by 1–630%) and captured weather fluctuation effects the most accurately. Results indicated that ARID may be used as a simple index for quantifying drought and its effects on crop yields.read more
Citations
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Journal ArticleDOI
Greater sensitivity to drought accompanies maize yield increase in the U.S. Midwest
David B. Lobell,Michael J. Roberts,Wolfram Schlenker,Noah Braun,Bertis B. Little,Roderick M. Rejesus,Graeme Hammer +6 more
TL;DR: The results suggest that agronomic changes tend to translate improved drought tolerance of plants to higher average yields but not to decreasing drought sensitivity of yields at the field scale, which is a key question for climate change adaptation.
Book ChapterDOI
Handbook of Drought Indicators and Indices
Mark Svoboda,Brian Fuchs +1 more
TL;DR: The authors discusses some of the most commonly used drought indicators/indices that are being applied across drought-prone regions, with the goal of advancing monitoring, early warning, and information delivery systems in support of risk-based drought management policies and preparedness plans.
Journal ArticleDOI
Satellite soil moisture for agricultural drought monitoring: Assessment of the SMOS derived Soil Water Deficit Index
TL;DR: In this paper, the Soil Water Deficit Index (SWDI) was calculated using the SMOS L2 soil moisture series in the REMEDHUS (Soil Moisture Measurement Stations Network) area (Spain) during the period 2010-2014.
Journal ArticleDOI
A soil water based index as a suitable agricultural drought indicator
TL;DR: In this article, a new approach to define the soil water deficit index (SWDI) is analyzed to use a soil water series for drought monitoring, and simple and accurate methods using a soil moisture series solely to obtain soil water parameters (field capacity and wilting point) are evaluated.
Journal ArticleDOI
Review and classification of indicators of green water availability and scarcity
TL;DR: In this paper, the authors review and classify around 80 indicators of green water availability and scarcity, and discuss the way forward to develop operational green water scarcity indicators that can broaden the scope of water scarcity assessments.
References
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Book
Crop evapotranspiration : guidelines for computing crop water requirements
TL;DR: In this paper, an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients is presented, based on the FAO Penman-Monteith method.
Journal ArticleDOI
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
TL;DR: In this article, the principles governing the application of the conceptual model technique to river flow forecasting are discussed and the necessity for a systematic approach to the development and testing of the model is explained and some preliminary ideas suggested.
Journal ArticleDOI
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
Daniel N. Moriasi,Jeffrey G. Arnold,M. W. Van Liew,Ronald L. Bingner,R. D. Harmel,Tamie L. Veith +5 more
TL;DR: In this paper, the authors present guidelines for watershed model evaluation based on the review results and project-specific considerations, including single-event simulation, quality and quantity of measured data, model calibration procedure, evaluation time step, and project scope and magnitude.
The relationship of drought frequency and duration to time scales
TL;DR: The definition of drought has continually been a stumbling block for drought monitoring and analysis as mentioned in this paper, mainly related to the time period over which deficits accumulate and to the connection of the deficit in precipitation to deficits in usable water sources and the impacts that ensue.