| contributor author | Janowiak, J. E. | |
| contributor author | Ropelewski, C. F. | |
| contributor author | Halpert, M. S. | |
| date accessioned | 2017-06-09T14:01:05Z | |
| date available | 2017-06-09T14:01:05Z | |
| date copyright | 1986/04/01 | |
| date issued | 1986 | |
| identifier issn | 0733-3021 | |
| identifier other | ams-10987.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4146164 | |
| description abstract | An objective method to identify and track significant global precipitation anomalies on time scales of a month or longer is presented. The technique requires current observations of monthly precipitation amounts for each station and long term (20 or more years) monthly precipitation histories. Tests indicate that the technique compares favorably with the well-known Palmer Drought Severity Index (PDSI) and Crop Moisture Index (CMI) in the United States. Since monthly precipitation data are readily available in a near real-time framework, this method makes an automated, global precipitation anomaly monitoring system possible. | |
| publisher | American Meteorological Society | |
| title | The Precipitation Anomaly Classification: A Method for Monitoring Regional Precipitation Deficiency and Excess on a Global Scale | |
| type | Journal Paper | |
| journal volume | 25 | |
| journal issue | 4 | |
| journal title | Journal of Climate and Applied Meteorology | |
| identifier doi | 10.1175/1520-0450(1986)025<0565:TPACAM>2.0.CO;2 | |
| journal fristpage | 565 | |
| journal lastpage | 574 | |
| tree | Journal of Climate and Applied Meteorology:;1986:;Volume( 025 ):;Issue: 004 | |
| contenttype | Fulltext | |