Early Warning For All With A Model-Of-Models Approach-Reference-Cited by-同舟云学术

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Early Warning For All With A Model-Of-Models Approach

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Schumann Guy J-P.¹,Kar Bandana²,Sharma Prativa³,Bausch Doug⁴,Wang Jun⁵,Glasscoe Margaret⁶

Affiliation:

1. ImageCat Inc.,Long Beach,CA,USA

2. AAAS Science, Technology and Policy Fellow,U.S. Department of Energy – Office of EERE

3. University of Missouri,Kansas City,MO

4. Niyam IT, Inc.,Maui,HI

5. Indiana University,Bloomington,IN

6. University of Alabama in Huntsville,Huntsville,AL

Funder

National Aeronautics and Space Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282256.pdf?arnumber=10282256

Reference10 articles.

1. Integrating Hydrologic Models and Earth Observation Data for Global Flood Forecasting and Alerting in Near Real-Time

2. INTEGRATED MODEL OF MODELS FOR GLOBAL FLOOD ALERTING

3. Reproducibility and replicability of flood models

4. DisasterAWARE – A GLOBAL ALERTING PLATFORM FOR FLOOD EVENTS

5. Two Billion Vulnerable To Floods By 2050; Number Expected To Double Or More In Two Generations;Science Daily,2004

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessing a Model-of-Models Approach for Global Flood Forecasting and Alerting;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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