Evaluation of prediction and forecasting models for evapotranspiration of agricultural lands in the Midwest U.S-Reference-Cited by-同舟云学术

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Evaluation of prediction and forecasting models for evapotranspiration of agricultural lands in the Midwest U.S

Published:2021-09 Issue: Volume:600 Page:126579
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Talib Ammara,Desai Ankur R.,Huang Jingyi,Griffis Tim J.,Reed David E.,Chen Jiquan

Funder

National Aeronautics and Space Administration

College of Engineering, University of Wisconsin-Madison

Wisconsin Department of Natural Resources

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference116 articles.

1. Extreme learning machines: a new approach for prediction of reference evapotranspiration;Abdullah;J. Hydrol.,2015

2. Comparative Assessment of snowfall retrieval from microwave humidity sounders using machine learning methods;Adhikari;Earth Space Sci.,2020

3. Statistical predictor identification;Akaike;Ann. Inst. Stat. Math.,1970

4. Crop evapotranspiration: guidelines for computing crop requirements;Allen;Irrig. Drain. Pap.,1998

5. Growing degree days – Ecosystem indicator for changing diurnal temperatures and their impact on corn growth stages in Kansas;Anandhi;Ecol. Indic.,2016

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