Spatial downscaling of TRMM precipitation data based on the orographical effect and meteorological conditions in a mountainous area

Advances in Water Resources

Volumn 61, Issue , 2013, Pages 42-50

  Fang, Jian ^a,b   Du, Juan ^a,b   Xu, Wei ^a,b   Shi, Peijun ^a,b   Li, Man ^a,b   Ming, Xiaodong ^a,b  

^a BEIJING NORMAL UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Extreme rainfall events; Orographical effect; Pre storm conditions; Spatial downscaling; TRMM

Indexed keywords

DOWN-SCALING; EXTREME RAINFALL; OROGRAPHICAL EFFECT; PRE-STORM CONDITIONS; TRMM;

INTERPOLATION; RAIN; SATELLITES; SOIL MOISTURE; STORMS;

RAIN GAGES;

DOWNSCALING; ENVIRONMENTAL FACTOR; EXTREME EVENT; INTERPOLATION; KRIGING; MOUNTAIN REGION; OROGRAPHIC EFFECT; PRECIPITATION (CLIMATOLOGY); RAINFALL; SATELLITE DATA; SPATIAL ANALYSIS; TRMM;

EID: 84884387411     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2013.08.011     Document Type: Article

References (31)

1. Field C.B., Barros V., Stocker T.F., Qin D., Dokken D.J., Ebi K.L. Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of working groups I and II of the intergovernmental panel on climate change 2012, Cambridge University Press, andlt;http://ipcc-wg2.gov/SREX/>.
2. Peterson T.C., Stott P.A., Herring S. Explaining extreme events of 2011 from a climate perspective. Bull Am Meteorol Soc 2012, 93:1041-1067. 10.1175/bams-d-12-00021.1.
3. Min S.-K., Zhang X., Zwiers F.W., Hegerl G.C. Human contribution to more-intense precipitation extremes. Nature 2011, 470:378-381. 10.1038/nature09763.
4. Alexander L.V., Zhang X., Peterson T.C., Caesar J., Gleason B., Klein Tank A.M.G., et al. Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res 2006, 111:D05109. 10.1029/2005jd006290.
5. DFO. Dartmouth Flood Observatory; 2012. andlt;>. http://www.dartmouth.edu/~floods/.
6. Karl T.R., Easterling D.R. Climate extremes: selected review and future research directions. Clim Change 1999, 42:309-325. 10.1023/a:1005436904097.
7. Guo J., Liang X., Ruby Leung L. Impacts of different precipitation data sources on water budgets. J Hydrol 2004, 298:311-334. 10.1016/j.jhydrol.2003.08.020.
8. Adler R.F., Huffman G.J., Chang A., Ferraro R., Xie P.-P., Janowiak J., et al. The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-Present). J Hydrometeorol 2003, 4:1147-1167. 10.1175/1525-7541(2003)004andlt;1147:tvgpcp>2.0.co;2.
9. Sorooshian S., Hsu K.L., Gao X., Gupta H.V., Imam B., Braithwaite D. Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull Am Meteorol Soc 2000, 81:2035-2046. 10.1175/1520-0477(2000)081andlt;2035:eopsse>2.3.co;2.
10. Huffman G.J., Bolvin D.T., Nelkin E.J., Wolff D.B., Adler R.F., Gu G., et al. The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 2007, 8:38-55. 10.1175/jhm560.1.
11. Su F., Hong Y., Lettenmaier D.P. Evaluation of TRMM multisatellite precipitation analysis (TMPA) and its utility in hydrologic prediction in the La Plata basin. J Hydrometeorol 2008, 9:622-640. 10.1175/2007jhm944.1.
12. Gebremichael M., Krajewski W.F., Over T.M., Takayabu Y.N., Arkin P., Katayama M. Scaling of tropical rainfall as observed by TRMM precipitation radar. Atmos Res 2008, 88:337-354. 10.1016/j.atmosres.2007.11.028.
13. Rahman S., Bagtzoglou A.C., Hossain F., Tang L., Yarbrough L.D., Easson G. Investigating spatial downscaling of satellite rainfall data for streamflow simulation in a medium-sized basin. J Hydrometeorol 2009, 10:1063-1079. 10.1175/2009jhm1072.1.
14. Prudhomme C., Reed D.W. Mapping extreme rainfall in a mountainous region using geostatistical techniques: a case study in Scotland. Int J Climatol 1999, 19:1337-1356. 10.1002/(sici)1097-0088(199910)19:12andlt;1337::aid-joc421>3.3.co;2-7.
15. Jia S., Zhu W., Land#x0171; A., Yan T. A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China. Remote Sens Environ 2011, 115:3069-3079. 10.1016/j.rse.2011.06.009.
16. Gottardi F., Obled C., Gailhard J., Paquet E. Statistical reanalysis of precipitation fields based on ground network data and weather patterns: application over French mountains. J Hydrol 2012, 432-433:154-167. 10.1016/j.jhydrol.2012.02.014.
17. Pavlopoulos H. A stochastic framework for downscaling processes of spatial averages based on the property of spectral multiscaling and its statistical diagnosis on spatio-temporal rainfall fields. Adv Water Resour 2011, 34:990-1011. 10.1016/j.advwatres.2011.05.006.
18. Perica S. Model for multiscale disaggregation of spatial rainfall based on coupling meteorological and scaling descriptions. J Geog Res 1996, 101:26347-26361. 10.1029/96JD01870.
19. Ahrens B. Rainfall downscaling in an alpine watershed applying a multiresolution approach. J Geophys Res 2003, 108:8388. 10.1029/2001jd001485.
20. Deidda R. Rainfall downscaling in a space-time multifractal framework. Water Resour Res 2000, 36:1779-1794. 10.1029/2000wr900038.
21. Tao K., Barros A.P. Using fractal downscaling of satellite precipitation products for hydrometeorological applications. J Atmos Oceanic Technol 2010, 27:409-427. 10.1175/2009jtecha1219.1.
22. Bindlish R., Barros A.P. Disaggregation of rainfall for one-way coupling of atmospheric and hydrological models in regions of complex terrain. Global Planet Change 2000, 25:111-132. 10.1016/S0921-8181(00)00024-2.
23. Sobel A.H., Nilsson J., Polvani L.M. The weak temperature gradient approximation and balanced tropical moisture waves. J Atmos Sci 2001, 58:3650-3665. 10.1175/1520-0469(2001)058andlt;3650:twtgaa>2.0.co;2.
24. Sawunyama T., Hughes D.A. Application of satellite-derived rainfall estimates to extend water resource simulation modelling in South Africa. Water SA 2008, 34:1-9. andlt;http://eprints.ru.ac.za/999/1/Application.pdf>.
25. Prudhomme C., Reed D.W. Relationships between extreme daily precipitation and topography in a mountainous region: a case study in Scotland. Int J Climatol 1998, 18:1439-1453. 10.1002/(SICI)1097-0088(19981115)18:13andlt;1439::AID-JOC320>3.0.CO;2-7.
26. Ward E., Buytaert W., Peaver L., Wheater H. Evaluation of precipitation products over complex mountainous terrain: a water resources perspective. Adv Water Resour 2011, 34:1222-1231. 10.1016/j.advwatres.2011.05.007.
27. Smith E., Asrar G., Furuhama Y., Ginati A., Mugnai A., Nakamura K., et al. International global precipitation measurement (GPM) program and mission: an overview. Measuring precipitation from space 2007, 611-653. Springer, Netherlands. 10.1007/978-1-4020-5835-6_48. V. Levizzani, P. Bauer, F.J. Turk (Eds.).
28. Tian Y., Peters-Lidard C.D., Choudhury B.J., Garcia M. Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications. J Hydrometeorol 2007, 8:1165-1183. 10.1175/2007jhm859.1.
29. Mass C.F., Ovens D., Westrick K., Colle B.A. Does increasing horizontal resolution produce more skillful forecasts?. Bull Am Meteorol Soc 2002, 83:407-430. 10.1175/1520-0477(2002)083andlt;0407:dihrpm>2.3.co;2.
30. Brooks H.E., Doswell C.A., Maddox R.A. On the use of mesoscale and cloud-scale models in operational forecasting. Weather Forecasting 1992, 7:120-132. 10.1175/1520-0434(1992)007andlt;0120:otuoma>2.0.co;2.
31. Buzzi A., Foschini L. Mesoscale meteorological features associated with heavy precipitation in the southern alpine region. Meteorol Atmos Phys 2000, 72:131-146. 10.1007/s007030050011.