Point rainfall statistics for ecohydrological analyses derived from satellite integrated rainfall measurements

Water Resources Research

Volumn 51, Issue 4, 2015, Pages 2974-2985

  Del Jesus, Manuel ^a   Rinaldo, Andrea ^b,c   Rodríguez Iturbe, Ignacio ^d  

^a UNIVERSITY OF CANTABRIA   (Spain)

^b EPFL   (Switzerland)

^c UNIVERSITY OF PADOVA   (Italy)

^d PRINCETON UNIVERSITY   (United States)

Author keywords

precipitation; satellite measurements; stochastic rainfall modeling

Indexed keywords

GAGES; PRECIPITATION (CHEMICAL); PRECIPITATION (METEOROLOGY); RAIN GAGES; SATELLITES; STATISTICS; STOCHASTIC SYSTEMS;

RAINFALL DOWNSCALING; RAINFALL DYNAMICS; RAINFALL MEASUREMENTS; RAINFALL STATISTICS; SATELLITE MEASUREMENTS; SATELLITE RAINFALLS; SPATIAL STRUCTURE; STOCHASTIC RAINFALLS;

RAIN;

ECOHYDROLOGY; PRECIPITATION INTENSITY; RAINGAUGE; SATELLITE DATA; STOCHASTICITY;

AFRICA;

EID: 85027936096     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR016935     Document Type: Article

References (17)

1. Caylor, K. K., H. H. Shugart, P. R. Dowty, and, T. M. Smith, (2003), Tree spacing along the Kalahari transect in southern Africa, J. Arid Environ., 54 (2), 281-296, doi: 10.1006/jare.2002.1090.
2. Caylor, K. K., P. D'Odorico, and, I. Rodríguez-lturbe, (2006), On the ecohydrology of structurally heterogeneous semiarid landscapes, Water Resour. Res., 42, W07424, doi: 10.1029/2005WR004683.
3. Cox, D. R., and, V. Isham, (1988), A simple spatial-temporal model of rainfall, Proc. R. Soc. London, Ser. A, 415 (1849), 317-328, doi: 10.1098/rspa.1988.0016.
4. Herrera, R. G., D. G. Puyol, E. H. Martín, and, L. G. Presa, (2001), Influence of the North Atlantic oscillation on the Canary Islands precipitation, J. Clim., 14 (19), 3889-3903, doi: 10.1175/1520-0442(2001)014 <3889:IOTNAO>2.0.CO;2.
5. Huffman, G. J., D. T. Bolvin, E. J. Nelkin, D. B. Wolff, R. F. Adler, G. Gu, Y. Hong, K. P. Bowman, and, E. F. Stocker, (2009), The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, J. Hydrometeorol. 8 (1), 38-55, doi: 10.1175/JHM560.1.
6. Isham, V., D. R. Cox, I. Rodríguez-lturbe, A. Porporato, and, S. Manfreda, (2005), Representation of space-time variability of soil moisture, Proc. R. Soc. A, 461 (2064), 4035-4055, doi: 10.1098/rspa.2005.1568.
7. Kennedy, J., (2010), Particle swarm optimization, in, Claude Sammut, Geoffrey I. Webb, editors Encyclopedia of Machine Learning, pp. 760-766, Springer, US, doi: 10.1007/978-0-387-30164-8-630.
8. Müller, M. F., and, S. E., Thompson, (2013), Bias adjustment of satellite rainfall data through stochastic modeling: Methods development and application to Nepal, Adv. Water Resour., 60, 121-134, doi: 10.1016/j.advwatres.2013.08.004.
9. National Climatic Data Center (2014), Climate Data Online. National Climatic Data Center Federal Building 151 Patton Avenue Asheville, NC 28801-5001 USA. [Available at https://www.ncdc.noaa.gov/cdo-web/.].
10. Porporato, A., F. Laio, L. Ridolfi, K. K. Caylor, and, I. Rodríguez-lturbe, (2003), Soil moisture and plant stress dynamics along the Kalahari precipitation gradient, J. Geophys. Res., 108 (D3), 4127, doi: 10.1029/2002JD002448.
11. Rinaldo, A., E. Bertuzzo, L. Mari, L. Righetto, M. Blokesch, M. Gatto, R. Casagrandi, M. Murray, S. M. Vesenbeckh, and, I. Rodríguez-lturbe, (2012), Reassessment of the 2010-2011 Haiti cholera outbreak and rainfall-driven multiseason projections, Proc. Natl. Acad. Sci. U. S. A., 109 (17), 6602-6607, doi: 10.1073/pnas.1203333109.
12. Rodríguez-lturbe, I., and, A. Porporato, (2004), Ecohydrology of Water-Controlled Ecosystems: Soil Moisture and Plant Dynamics, Cambridge Univ. Press, Cambridge, U. K.
13. Rodríguez-lturbe, I., V. Isham, D. R. Cox, S. Manfreda, and, A. Porporato, (2006), Space-time modeling of soil moisture: Stochastic rainfall forcing with heterogeneous vegetation, Water Resour. Res., 42, W06D05, doi: 10.1029/2005WR004497.
14. Scanlon, T. M., K. K. Caylor, S. A. Levin, and, I. Rodríguez-lturbe, (2007), Positive feedbacks promote power-law clustering of Kalahari vegetation, Nature, 449 (7159), 209-212, doi: 10.1038/nature06060.
15. Shugart, H. H., S. A. Macko, P. Lesolle, T. A. Szuba, M. M. Mukelabai, P. Dowty, and, R. J. Swap, (2004), The SAFARI 2000-Kalahari Transect Wet Season Campaign of year 2000, Global Change Biol., 10 (3), 273-280, doi: 10.1111/j.1365-2486.2004.00732.x.
16. Vanmarcke, E., (2010), Random Fields: Analysis and Synthesis, World Scientific Publishing Co. Pte. Ltd. 5 Toh Tuck Link, Singapore 596224.
17. Wright, D. B., J. A. Smith, G. Villarini, and, M. L. Baeck, (2012), Hydroclimatology of flash flooding in Atlanta, Water Resour. Res., 48, W04524, doi: 10.1029/2011WR011371.