Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and Adjoints

Jones, Andrew S.; Andales, Allan A.; Chávez, José L.; McGovern, Cullen; Smith, Garvey E.B.; David, Olaf; Fletcher, Steven J.

doi:10.1111/1752-1688.12806

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and Adjoints

2019
By Jones, Andrew S. ; Andales, Allan A. ; Chávez, José L. ; ...
Source: JAWRA Journal of the American Water Resources Association, 56(2), 201-211

[PDF-316.87 KB]

Details You May Also Like

Details:

Journal Title:

JAWRA Journal of the American Water Resources Association
Personal Author:

Jones, Andrew S. ; Andales, Allan A. ; Chávez, José L. ; McGovern, Cullen ; Smith, Garvey E.B. ; ... More +

Jones, Andrew S. ; Andales, Allan A. ; Chávez, José L. ; McGovern, Cullen ; Smith, Garvey E.B. ; David, Olaf ; Fletcher, Steven J. Less -
NOAA Program & Office:

CIRA (Cooperative Institute for Research in the Atmosphere)
Description:

We apply predictive weather metrics and land model sensitivities to improve the Colorado State University Water Irrigation Scheduler for Efficient Application (WISE). WISE is an irrigation decision aid that integrates environmental and user information for optimizing water use. Rainfall forecasts and verification performance metrics are used to estimate predictive rainfall probabilities that are used as input data within the irrigation decision aid. These input data errors are also used within a land model sensitivity study to diagnose important prognostic water movement behaviors for irrigation tool development purposes simultaneously performing the analysis in space and time. Thus, important questions such as “how long can a crop water application be delayed while maintaining crop yield production?” are addressed by evaluating crop growth stage interactions as a function of soil depth (i.e., space), rainfall events (i.e., time), and their probabilistic uncertainties. Editor’s note: This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.
Keywords:

[+]

Earth-Surface Processes Ecology Water Science And Technology
Source:

JAWRA Journal of the American Water Resources Association, 56(2), 201-211
DOI:

https://doi.org/10.1111/1752-1688.12806
ISSN:

1093-474X;1752-1688;
Publisher:

Wiley
Document Type:

Journal Article
Rights Information:

Accepted Manuscript
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:f9e896d2de19e9928a41d00ffbca0de46945fab79b9ba1bcd60d7a34de712a97
Download URL:

https://repository.library.noaa.gov/view/noaa/57236/noaa_57236_DS1.pdf
File Type:

No Additional Files

More +

Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and Adjoints

Details:

Supporting Files

You May Also Like