Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data-Reference-Cited by-同舟云学术

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Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data

Published:2021-01-01 Issue:1 Volume:54 Page:117-139
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Turini Nazli¹,Thies Boris¹,Horna Natalia²,Bendix Jörg¹

Affiliation:

1. Laboratory for Climatology and Remote Sensing, Faculty of Geography, Philipps-University Marburg, Marburg, Germany

2. Instituto Nacional de Meteorología e Hidrología Dirección de Estudios, Investigación y Desarrollo Hidrometeorológico, Quito, Ecuador

Funder

Bundesministerium für Bildung und Forschung

Deutsche Forschungsgemeinschaft

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2021.1884002

Reference72 articles.

1. Classification of Regional Climate Variability in the State of California

2. Estimation of Monthly Rainfall over Japan and Surrounding Waters from a Combination of Low-Orbit Microwave and Geosynchronous IR Data

3. PERSIANN-MSA: A Precipitation Estimation Method from Satellite-Based Multispectral Analysis

4. REFAME: Rain Estimation Using Forward-Adjusted Advection of Microwave Estimates

5. RadarNet-Sur First Weather Radar Network in Tropical High Mountains

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3. Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities;SSRN Electronic Journal;2022

4. Assessment of Satellite-Based Rainfall Products Using a X-Band Rain Radar Network in the Complex Terrain of the Ecuadorian Andes;Atmosphere;2021-12-14

5. Estimating Rainfall with Multi-Resource Data over East Asia Based on Machine Learning;Remote Sensing;2021-08-23

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