David Brown

Dr. David Brown


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2002 in Atmospheric Science Letters
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Journal Article
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DBDavid Brown
David Brown
ACAndrew C. Comrie
Andrew C. Comrie
This paper highlights the relationship between precipitation variability at the sub‐regional level in the Southwest United States and the SOI and PDO climate teleconnection indices during the period 1950–2000. Statistical correlations at α = 0.05 and 0.01 levels are calculated for fall, winter, and spring precipitation in the Southwest, and contemporaneous and antecedent seasonal SOI and PDO index values. A strong SOI‐winter precipitation signal is seen to progress across Arizona and New Mexico from southwest to northeast over a three‐season lagged period. The PDO also exhibits a strong relationship with winter and spring precipitation in New Mexico; however, the PDO is not well correlated with precipitation in Arizona. The results underscore the non‐uniform spatio‐temporal relationships of the SOI and PDO indices as they relate to the precipitation regime of the Southwest, and provide a framework for future diagnostic analyses of these relationships. Copyright © 2003 Royal Meteorological Society.


13 February 2020 in Remote Sensing
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Journal Article
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Jean SteinerJean Steiner
Jean Steiner
JWJeffrey Wetter
Jeffrey Wetter
SRShelby Robertson
Shelby Robertson
STStephen Teet
Stephen Teet
Jie WangJie Wang
Jie Wang
Xiangming XiaoXiangming Xiao
Xiangming Xiao
Devastating wildfires in Texas, Oklahoma, and Kansas in 2016 and 2017 resulted in significant social, economic, and environmental losses, with the agricultural sector among those severely affected. Several satellite-based indices were evaluated as potential monitoring tools for post-wildfire ecological recovery and management of grasslands. All indices evaluated provided useful information and indicated rapid vegetation recovery from wildfire. The Leaf Water Stress Index (LSWI) and Gross Primary Productivity (GPP) showed a distinct response to the wildfire events, and differentiated between burned and unburned areas throughout the post-wildfire growing seasons better than the Normalized Difference Vegetative Index (NDVI) and Enhanced Vegetative Index (EVI). In particular, the LSWI may provide a useful tool for mapping the footprint of wildfire, with potential utility for organizations that provide post-fire recovery resources. The GPP, which estimates the biomass productivity of vegetation, can provide information to livestock operators to guide the re-stocking of cattle in the aftermath of wildfire. In sum, satellite-based proxies can provide timely information both to characterize a wildfire’s footprint and to guide post-fire grazing management in a manner that balances short term needs for forage with long-term productivity and ecological function.

1 January 2019
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Report
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DFDeborah M. Finch
Deborah M. Finch
CBCarolyn Baldwin
Carolyn Baldwin
DBDavid Brown
David Brown
KDKatelyn Driscoll
Katelyn Driscoll
EFErica Fleishman
Erica Fleishman
RZRichard Zabel
Richard Zabel