Validation of High-Resolution Gridded Rainfall Datasets for Climate Applications in the Philippines

Author:

Peralta J. C. Albert C.1,Narisma Gemma Teresa T.1,Cruz Faye Abigail T.2

Affiliation:

1. Atmospheric Science Program, Department of Physics, School of Science and Engineering, Ateneo de Manila University, and Regional Climate Systems Laboratory, Manila Observatory, Quezon City, Philippines

2. Regional Climate Systems Laboratory, Manila Observatory, Quezon City, Philippines

Abstract

AbstractGridded rainfall products could augment the shortage of available rainfall data in archipelagic countries like the Philippines, where weather stations are still sparsely distributed especially over its remote and less-developed islands. However, these products need to be validated first using ground measurements to determine their ability to represent properties of local rainfall. This study compares four high-resolution, gridded datasets—APHRODITEv1101, CHIRPSv2, TRMM 3B42v7, and PERSIANN-CDR—with respect to 49 synoptic weather stations over the Philippines from 1998 to 2005. The performance of these datasets was assessed in terms of bias, distribution, and different statistical error metrics and skill scores across time scales and climate types. Results show that all the datasets were able to capture the basic climatology and to varying extents, spatial patterns of Philippine rainfall. TRMM 3B42v7 has the least overall average monthly bias and most closely resembles the rainfall distribution observed at weather stations, especially dry days and torrential rain days for the whole Philippines. APHRODITEv1101 performs best in terms of error metrics and skill scores but displays consistent underestimates. CHIRPSv2, on the other hand, best captures the seasonal rainfall peaks in the different climate types in the Philippines but is prone to larger errors. Last, PERSIANN-CDR shows generally poor metrics and rainfall distributions, in comparison to the other datasets. These key findings are used to identify possible research applications in the Philippines that are best suited for each dataset.

Funder

Department of Science and Technology, Republic of the Philippines

Philippine Council for Industry, Energy, and Emerging Technology Research and Development

Ateneo de Manila University

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference40 articles.

1. The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present);Adler;J. Hydrometeor.,2003

2. Validation of APHRODITE precipitation data for humid and sub humid regions of Pakistan;Ali,2012

3. A fallacy in the use of skill scores;Appleman;Bull. Amer. Meteor. Soc.,1960

4. Shallow precipitation detection and classification using multifrequency radar observations and model simulations;Arulraj;J. Atmos. Oceanic Technol.,2017

5. PERSIANN-CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies;Ashouri;Bull. Amer. Meteor. Soc.,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3