Details:

Journal Title:
Atmosphere
Personal Author:
Chen, Yun-Lan ; Chen, Chia-Rong ; Xie, Pingping
Chen, Yun-Lan ; Chen, Chia-Rong ; Xie, Pingping Less -
NOAA Program & Office:
NWS (National Weather Service) ; CPC (Climate Prediction Center)
NWS (National Weather Service) ; CPC (Climate Prediction Center) Less -
Description:
An Infrared (IR)-passive microwave (PMW) blended technique is developed to derive precipitation estimates over the Asia-Pacific domain through calibrating the temperature of brightness blackbody from the Japanese Himawari-8 satellite to precipitation derived from the combined PMW retrievals (currently MWCOMB2x) based on the probability density function (PDF)-matching concept. Called IRQPE, the technique is modified and fine-tuned to better represent the spatially rapidly changing cloud–precipitation relationship over the target region with PDF-matching tables established over a refined spatial resolution of 0.5° lat/lon grid. The evaluation of the IRQPE shows broadly comparable performance to that of the CMORPH2 in detecting rainfall systems of large and medium-scales at a resolution of 1.0° degree. Rainfall variations from the two datasets over El Niño-Southern Oscillation and the Madden Julian Oscillation active convective centers show well consistency of each other, suggesting usefulness of the IRQPE in climate applications. Two approaches for regional improvements are explored by establishing the PDF tables for a further refined spatial resolution and by replacing the PMW-based precipitation ‘truth’ fields with the surface gauge data to overcome the shortcoming of PMW-based retrievals in capturing orographic rainfall over the Taiwan area. The results show significant improvements. The rainfall patterns of revised the IRQPE at a resolution of 0.1° degree on above the 5-day timescale correlate well with the Taiwan official surface ground truth called the QPESUMS, which is a gridded set of gauge-corrected Radar quantitative precipitation estimations. The root mean square error of the revised IRQPE on estimating the Taiwan overall land rainfall is close to Radar-derived rainfall accumulations on a 30-day time-scale.
Keywords:
[+]
Atmospheric Science Environmental Science (miscellaneous)
Source:
Atmosphere, 14(2), 342
DOI:
https://doi.org/10.3390/atmos14020342
ISSN:
2073-4433
Format:
PDF
Publisher:
MDPI AG
Document Type:
Journal Article
License:
https://creativecommons.org/licenses/by/4.0/
Rights Information:
CC BY
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:8ba9ad9a9f411716c8054491065271a36d5e6bb3ddc7d835af528a0946f14cfc
Download URL:
https://repository.library.noaa.gov/view/noaa/52842/noaa_52842_DS1.pdf
File Type:

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