The relationship between tibetan snow depth, ENSO, river discharge and the monsoons of Bangladesh

Publication Type  Journal Article
Year of Publication  2005
Authors  Shaman, J.; Cane, M.; Kaplan, A.
Journal Title  International Journal of Remote Sensing
Volume  26
Issue  17
Pages  3735-3748
Journal Date  Sep 10
ISBN Number  0143-1161
Accession Number  ISI:000232468700008
Key Words  asian summer monsoon; sea-surface temperatures; indian monsoon; interannual variability; thermal contrast; global climate; rainfall; cover; land; ocean
Abstract  

Using satellite estimates of snow depth, we examine the interannual variability of the monsoon rains of Bangladesh, an area greatly affected by land surface hydrological processes including Himalayan snowpack size, snowmelt river flooding, and Bay of Bengal storm surge. For the twentieth century, we found Bangladesh monsoon rainfall (BMR) to be uncorrelated with the All-Indian Monsoon Index. This result is consistent with previous findings for shorter time records. We next used a short 9-year record of satellite estimates of April snow depth for the Himalayan region and concurrent seasonal El Nino-Southern Oscillation (ENSO) conditions in the equatorial Pacific to develop an empirical model that explains a high percentage of BMR interannual variability. Inclusion of late spring river discharge levels further improves the empirical model representation of BMR for June-September. These results, though with a limited length satellite record, suggest that BMR interannual variability is constrained by concurrent ENSO conditions, spring Himalayan snowpack size and land surface flooding. The same results could not be obtained from analyses using satellite estimates of snow cover. These findings stress the need for development of a quality longer record of satellite estimated snow depth. The twentieth-century analysis also indicates that BMR should be considered independently of Indian monsoon rainfall.

Notes  

972QQTimes Cited:3Cited References Count:53

URL  <Go to ISI>://000232468700008
DOI  Doi 10.1080/01431160500185599