Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part I: A Review of Metrics and Adjoint Methods-Reference-Cited by-同舟云学术

Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part I: A Review of Metrics and Adjoint Methods

Published:2019-11-13 Issue:2 Volume:56 Page:187-200
ISSN:1093-474X
Container-title:JAWRA Journal of the American Water Resources Association
language:en
Short-container-title:J Am Water Resour Assoc

Author:

Jones Andrew S.¹^ORCID,Andales Allan A.²,Chávez José L.³,McGovern Cullen²,Smith Garvey E.B.²,David Olaf³,Fletcher Steven J.¹

Affiliation:

1. Cooperative Institute for Research in the Atmosphere Colorado State University Fort Collins Colorado USA

2. Department of Soil and Crop Sciences Colorado State University Fort Collins Colorado USA

3. Department of Civil and Environmental Engineering Colorado State University Fort Collins Colorado USA

Funder

U.S. Department of Agriculture

National Science Foundation

Publisher

Wiley

Subject

Earth-Surface Processes,Water Science and Technology,Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1752-1688.12810

Reference60 articles.

1. Statistics of multi‐year droughts from the method for object‐based diagnostic evaluation

2. Allen R.G. L.S.Pereira D.Raes andM.Smith.1998. “Crop Evapotranspiration — Guidelines for Computing Crop Water Requirements.” FAO Irrigation and Drainage Paper 56.FAO Rome.15pp.

3. Observational Evidence that Great Plains Irrigation Has Enhanced Summer Precipitation Intensity and Totals in the Midwestern United States

4. A Mobile Irrigation Water Management System Using a Collaborative GIS and Weather Station Networks

5. Andales A.A. J.L.Chavez andT.A.Bauder.2015. “Irrigation Scheduling: The Water Balance Approach.”Colorado State University Extension Fact Sheet No. 4.707.https://extension.colostate.edu/docs/pubs/crops/04707.pdf.

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