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MSWEP : 3-hourly 0.25° global gridded precipitation (1979-2015) by merging gauge, satellite, and reanalysis data

Hylke E Beck, Albert IJM van Dijk, Vincenzo Levizzani, Jaap Schellekens, Diego Gonzalez Miralles UGent, Brecht Martens UGent and Ad de Roo (2017) HYDROLOGY AND EARTH SYSTEM SCIENCES. 21(1). p.589-615
abstract
Current global precipitation (P) datasets do not take full advantage of the complementary nature of satellite and reanalysis data. Here, we present Multi-Source Weighted-Ensemble Precipitation (MSWEP) version 1.1, a global P dataset for the period 1979-2015 with a 3hourly temporal and 0.25 degrees ffi spatial resolution, specifically designed for hydrological modeling. The design philosophy of MSWEP was to optimally merge the highest quality P data sources available as a function of timescale and location. The long-term mean of MSWEP was based on the CHPclim dataset but replaced with more accurate regional datasets where available. A correction for gauge under-catch and orographic effects was introduced by inferring catchment-average P from streamflow (Q) observations at 13 762 stations across the globe. The temporal variability of MSWEP was determined by weighted averaging of P anomalies from seven datasets; two based solely on interpolation of gauge observations (CPC Unified and GPCC), three on satellite remote sensing (CMORPH, GSMaP-MVK, and TMPA 3B42RT), and two on atmospheric model reanalysis (ERA-Interim and JRA-55). For each grid cell, the weight assigned to the gauge-based estimates was calculated from the gauge network density, while the weights assigned to the satellite-and reanalysis-based estimates were calculated from their comparative performance at the surrounding gauges. The quality of MSWEP was compared against four state-of-the-art gauge-adjusted P datasets (WFDEI-CRU, GPCP-1DD, TMPA 3B42, and CPC Unified) using independent P data from 125 FLUXNET tower stations around the globe. MSWEP obtained the highest daily correlation coefficient (R) among the five P datasets for 60.0% of the stations and a median R of 0.67 vs. 0.44-0.59 for the other datasets. We further evaluated the performance of MSWEP using hydrological modeling for 9011 catchments (< 50 000 km(2)) across the globe. Specifically, we calibrated the simple conceptual hydrological model HBV (Hydrologiska Byrans Vattenbalansavdelning) against daily Q observations with P from each of the different datasets. For the 1058 sparsely gauged catchments, representative of 83.9% of the global land surface (excluding Antarctica), MSWEP obtained a median calibration NSE of 0.52 vs. 0.29-0.39 for the other P datasets. MSWEP is available via http://www.gloh2o.org.
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author
organization
alternative title
MSWEP : 3-hourly 0.25 degrees global gridded precipitation (1979-2015) by merging gauge, satellite, and reanalysis data
year
type
journalArticle (original)
publication status
published
subject
keyword
CONTERMINOUS UNITED-STATES, DATA ASSIMILATION SYSTEM, CARBON-DIOXIDE EXCHANGE, RAINFALL-RUNOFF MODELS, HYDROLOGIC MODEL, ANALYSIS TMPA, SPATIAL VARIABILITY, PASSIVE MICROWAVE, EDDY COVARIANCE, ENERGY-BALANCE
journal title
HYDROLOGY AND EARTH SYSTEM SCIENCES
Hydrol. Earth Syst. Sci.
volume
21
issue
1
pages
589 - 615
Web of Science type
Article
Web of Science id
000395177100001
ISSN
1027-5606
DOI
10.5194/hess-21-589-2017
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
8514503
handle
http://hdl.handle.net/1854/LU-8514503
date created
2017-03-16 09:23:44
date last changed
2018-03-05 11:55:57
@article{8514503,
  abstract     = {Current global precipitation (P) datasets do not take full advantage of the complementary nature of satellite and reanalysis data. Here, we present Multi-Source Weighted-Ensemble Precipitation (MSWEP) version 1.1, a global P dataset for the period 1979-2015 with a 3hourly temporal and 0.25 degrees ffi spatial resolution, specifically designed for hydrological modeling. The design philosophy of MSWEP was to optimally merge the highest quality P data sources available as a function of timescale and location. The long-term mean of MSWEP was based on the CHPclim dataset but replaced with more accurate regional datasets where available. A correction for gauge under-catch and orographic effects was introduced by inferring catchment-average P from streamflow (Q) observations at 13 762 stations across the globe. The temporal variability of MSWEP was determined by weighted averaging of P anomalies from seven datasets; two based solely on interpolation of gauge observations (CPC Unified and GPCC), three on satellite remote sensing (CMORPH, GSMaP-MVK, and TMPA 3B42RT), and two on atmospheric model reanalysis (ERA-Interim and JRA-55). For each grid cell, the weight assigned to the gauge-based estimates was calculated from the gauge network density, while the weights assigned to the satellite-and reanalysis-based estimates were calculated from their comparative performance at the surrounding gauges. The quality of MSWEP was compared against four state-of-the-art gauge-adjusted P datasets (WFDEI-CRU, GPCP-1DD, TMPA 3B42, and CPC Unified) using independent P data from 125 FLUXNET tower stations around the globe. MSWEP obtained the highest daily correlation coefficient (R) among the five P datasets for 60.0\% of the stations and a median R of 0.67 vs. 0.44-0.59 for the other datasets. We further evaluated the performance of MSWEP using hydrological modeling for 9011 catchments ({\textlangle} 50 000 km(2)) across the globe. Specifically, we calibrated the simple conceptual hydrological model HBV (Hydrologiska Byrans Vattenbalansavdelning) against daily Q observations with P from each of the different datasets. For the 1058 sparsely gauged catchments, representative of 83.9\% of the global land surface (excluding Antarctica), MSWEP obtained a median calibration NSE of 0.52 vs. 0.29-0.39 for the other P datasets. MSWEP is available via http://www.gloh2o.org.},
  author       = {Beck, Hylke E and van Dijk, Albert IJM and Levizzani, Vincenzo and Schellekens, Jaap and Gonzalez Miralles, Diego and Martens, Brecht and de Roo, Ad},
  issn         = {1027-5606},
  journal      = {HYDROLOGY AND EARTH SYSTEM SCIENCES},
  keyword      = {CONTERMINOUS UNITED-STATES,DATA ASSIMILATION SYSTEM,CARBON-DIOXIDE EXCHANGE,RAINFALL-RUNOFF MODELS,HYDROLOGIC MODEL,ANALYSIS TMPA,SPATIAL VARIABILITY,PASSIVE MICROWAVE,EDDY COVARIANCE,ENERGY-BALANCE},
  language     = {eng},
  number       = {1},
  pages        = {589--615},
  title        = {MSWEP : 3-hourly 0.25{\textdegree} global gridded precipitation (1979-2015) by merging gauge, satellite, and reanalysis data},
  url          = {http://dx.doi.org/10.5194/hess-21-589-2017},
  volume       = {21},
  year         = {2017},
}

Chicago
Beck, Hylke E, Albert IJM van Dijk, Vincenzo Levizzani, Jaap Schellekens, Diego Gonzalez Miralles, Brecht Martens, and Ad de Roo. 2017. “MSWEP : 3-hourly 0.25° Global Gridded Precipitation (1979-2015) by Merging Gauge, Satellite, and Reanalysis Data.” Hydrology and Earth System Sciences 21 (1): 589–615.
APA
Beck, H. E., van Dijk, A. I., Levizzani, V., Schellekens, J., Gonzalez Miralles, D., Martens, B., & de Roo, A. (2017). MSWEP : 3-hourly 0.25° global gridded precipitation (1979-2015) by merging gauge, satellite, and reanalysis data. HYDROLOGY AND EARTH SYSTEM SCIENCES, 21(1), 589–615.
Vancouver
1.
Beck HE, van Dijk AI, Levizzani V, Schellekens J, Gonzalez Miralles D, Martens B, et al. MSWEP : 3-hourly 0.25° global gridded precipitation (1979-2015) by merging gauge, satellite, and reanalysis data. HYDROLOGY AND EARTH SYSTEM SCIENCES. 2017;21(1):589–615.
MLA
Beck, Hylke E, Albert IJM van Dijk, Vincenzo Levizzani, et al. “MSWEP : 3-hourly 0.25° Global Gridded Precipitation (1979-2015) by Merging Gauge, Satellite, and Reanalysis Data.” HYDROLOGY AND EARTH SYSTEM SCIENCES 21.1 (2017): 589–615. Print.