A XGBoost-Based Downscaling-Calibration Scheme for Extreme Precipitation Events-Reference-Cited by-同舟云学术

A XGBoost-Based Downscaling-Calibration Scheme for Extreme Precipitation Events

Published:2023 Issue: Volume:61 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhu Honglin¹^ORCID,Liu Huizeng²^ORCID,Zhou Qiming¹,Cui Aihong¹^ORCID

Affiliation:

1. Department of Geography, Hong Kong Baptist University, Hong Kong, China

2. Institute for Advanced Study, Tiandu-Shenzhen University Deep Space Joint Laboratory, and MNR Key Laboratory for Geo-Environment Monitoring of Great Bay Area, Shenzhen University, Shenzhen, China

Funder

Natural Science Foundation of China (NSFC) General Program

Hong Kong Research Grant Council (RGC) General Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10178045.pdf?arnumber=10178045

Reference45 articles.

1. Inter-comparisons and applicability of CMIP5 GCMs, RCMs and statistically downscaled NEX-GDDP based precipitation in India

2. Spatial Downscaling of IMERG Considering Vegetation Index Based on Adaptive Lag Phase

3. Evaluation of the Impacts of Rain Gauge Density and Distribution on Gauge-Satellite Merged Precipitation Estimates

4. A New Downscaling-Calibration Procedure for TRMM Precipitation Data Over Yangtze River Economic Belt Region Based on a Multivariate Adaptive Regression Spline Model

5. The Tropical Rainfall Measuring Mission (TRMM) Sensor Package

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