High-resolution Monthly Satellite Precipitation Product over the Conterminous United States
Hashemi, Hossein LU
; Fayne, Jessica
; Knight, Rosemary
and Lakshmi, Venkat
(2017)
AGU (American Geophysical Union) Fall Meeting, 2017
- Abstract
- We present a data set that enhanced the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) monthly product 3B43 in its accuracy and spatial resolution. For this, we developed a correction function to improve the accuracy of TRMM 3B43, spatial resolution of ~25 km, by estimating and removing the bias in the satellite data using a ground-based precipitation data set. We observed a strong relationship between the bias and land surface elevation; TRMM 3B43 tends to underestimate the ground-based product at elevations above 1500 m above mean sea level (m.amsl) over the conterminous United States. A relationship was developed between satellite bias and elevation.
We then resampled TRMM 3B43 to the... (More) - We present a data set that enhanced the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) monthly product 3B43 in its accuracy and spatial resolution. For this, we developed a correction function to improve the accuracy of TRMM 3B43, spatial resolution of ~25 km, by estimating and removing the bias in the satellite data using a ground-based precipitation data set. We observed a strong relationship between the bias and land surface elevation; TRMM 3B43 tends to underestimate the ground-based product at elevations above 1500 m above mean sea level (m.amsl) over the conterminous United States. A relationship was developed between satellite bias and elevation.
We then resampled TRMM 3B43 to the Digital Elevation Model (DEM) data set at a spatial resolution of 30 arc second (~1 km on the ground). The produced high-resolution satellite-based data set was corrected using the developed correction function based on the bias-elevation relationship. Assuming that each rain gauge represents an area of ~1 km2, we verified our product against 9,200 rain gauges across the conterminous United States. The new product was compared with the gauges, which have 50, 60, 70, 80, 90, and 100% temporal coverage within the TRMM period of 1998 to 2015. Comparisons between the high-resolution corrected satellite-based data and gauges showed an excellent agreement. The new product captured more detail in the changes in precipitation over the mountainous region than the original TRMM 3B43. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4c74faad-7b6a-4a71-905d-4cbb84ba1d97
- author
- Hashemi, Hossein
LU
; Fayne, Jessica
; Knight, Rosemary
and Lakshmi, Venkat
- organization
- publishing date
- 2017-12-12
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- TRMM TMPA, High resolution, CONUS
- conference name
- AGU (American Geophysical Union) Fall Meeting, 2017
- conference location
- New Orleans, United States
- conference dates
- 2017-12-11 - 2017-12-15
- language
- English
- LU publication?
- yes
- id
- 4c74faad-7b6a-4a71-905d-4cbb84ba1d97
- date added to LUP
- 2018-01-22 22:04:00
- date last changed
- 2025-04-04 14:32:48
@misc{4c74faad-7b6a-4a71-905d-4cbb84ba1d97,
abstract = {{We present a data set that enhanced the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) monthly product 3B43 in its accuracy and spatial resolution. For this, we developed a correction function to improve the accuracy of TRMM 3B43, spatial resolution of ~25 km, by estimating and removing the bias in the satellite data using a ground-based precipitation data set. We observed a strong relationship between the bias and land surface elevation; TRMM 3B43 tends to underestimate the ground-based product at elevations above 1500 m above mean sea level (m.amsl) over the conterminous United States. A relationship was developed between satellite bias and elevation. <br/>We then resampled TRMM 3B43 to the Digital Elevation Model (DEM) data set at a spatial resolution of 30 arc second (~1 km on the ground). The produced high-resolution satellite-based data set was corrected using the developed correction function based on the bias-elevation relationship. Assuming that each rain gauge represents an area of ~1 km2, we verified our product against 9,200 rain gauges across the conterminous United States. The new product was compared with the gauges, which have 50, 60, 70, 80, 90, and 100% temporal coverage within the TRMM period of 1998 to 2015. Comparisons between the high-resolution corrected satellite-based data and gauges showed an excellent agreement. The new product captured more detail in the changes in precipitation over the mountainous region than the original TRMM 3B43.}},
author = {{Hashemi, Hossein and Fayne, Jessica and Knight, Rosemary and Lakshmi, Venkat}},
keywords = {{TRMM TMPA; High resolution; CONUS}},
language = {{eng}},
month = {{12}},
title = {{High-resolution Monthly Satellite Precipitation Product over the Conterminous United States}},
url = {{https://lup.lub.lu.se/search/files/37315055/AGU2017_Poster.pdf}},
year = {{2017}},
}