Universität zu Köln

Schubert, David, van der Linden, Roderick ORCID: 0000-0002-7364-323X, Reyers, Mark, Fink, Andreas H. ORCID: 0000-0002-5840-2120, Massmeyer, Klaus and Pinto, Joaquim G. (2017). Statistical-dynamical downscaling of precipitation for Vietnam: methodology and evaluation for the recent climate. Int. J. Climatol., 37 (11). S. 4211 - 4229. HOBOKEN: WILEY. ISSN 1097-0088

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Abstract

Precipitation over Southeast Asia is primarily controlled by the Southeast Asian monsoon system. This area features complex orography and morphology, and has limited surface precipitation observations. In this study, a statistical-dynamical downscaling approach that combines weather typing and dynamical downscaling is developed to obtain a high-resolution precipitation climatology for tropical Southeast Asia. A transient simulation with the regional climate model COSMO-CLM (COnsortium for Small Scale MOdelling-Climate Limited-area Modelling Community) driven by ERA-Interim (1979-2008) is performed for the study region. Focussing on Vietnam, six weather types (WTs) are selected for the Indochina Peninsula during the wet season (April to October) using a k-means cluster approach on daily 850 and 200hPa zonal wind components from ERA-Interim reanalysis. The six WTs can be physically interpreted as different stages of the seasonal progression of the planetary-scale monsoon circulation. For each WT, selected representatives from the COSMO-CLM run are dynamically downscaled to a resolution of 0.0625 degrees x0.0625 degrees (approximate to 7km). Using the present-day WT frequencies, the simulated COSMO-CLM representatives at 7km are recombined to a high-resolution rainfall climatology for the recent decades. The resulting high-resolution precipitation climatology is generally able to capture the present-day precipitation estimates derived from APHRODITE (Asian Precipitation - Highly Resolved Observational Data Integration Towards Evaluation of Water Resources) and station data. In spite of systematic biases our approach provides a valuable tool to obtain more robust regional climate change projections for the study area.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Schubert, David UNSPECIFIED UNSPECIFIED UNSPECIFIED van der Linden, Roderick UNSPECIFIED orcid.org/0000-0002-7364-323X UNSPECIFIED Reyers, Mark UNSPECIFIED UNSPECIFIED UNSPECIFIED Fink, Andreas H. UNSPECIFIED orcid.org/0000-0002-5840-2120 UNSPECIFIED Massmeyer, Klaus UNSPECIFIED UNSPECIFIED UNSPECIFIED Pinto, Joaquim G. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-220799
DOI:	10.1002/joc.5062
Journal or Publication Title:	Int. J. Climatol.
Volume:	37
Number:	11
Page Range:	S. 4211 - 4229
Date:	2017
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1097-0088
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Institute for Geophysics and Meteorology
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language WIND ENERGY POTENTIALS; MARITIME CONTINENT; DENSE NETWORK; RAINFALL; MODEL; SIMULATIONS; RESOLUTION; RADIATION; IMPACTS; DATASET Multiple languages Meteorology & Atmospheric Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/22079