Abstract
Sixty‐five percent of the short term variability in southern Mexican precipitation is accounted for by the large‐scale circulation. Empirical relationships between sea level and 500 mb circulation fields, and the local precipitation in Chiapas, Mexico, are derived using a neural net. Although much of the rainfall is a result of convective processes, the neural net captures the onset of the precipitation season, and the phase of individual precipitation events. The analysis indicates that both of these aspects of the precipitation regime are controlled to a large extent by the atmospheric circulation.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1835-1838 |
| Number of pages | 4 |
| Journal | Geophysical Research Letters |
| Volume | 19 |
| Issue number | 18 |
| DOIs | |
| State | Published - Jan 1 1992 |
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All Science Journal Classification (ASJC) codes
- Geophysics
- Earth and Planetary Sciences(all)
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Large‐scale atmospheric controls on local precipitation in tropical Mexico. / Hewitson, Bruce C.; Crane, Robert George.
In: Geophysical Research Letters, Vol. 19, No. 18, 01.01.1992, p. 1835-1838.Research output: Contribution to journal › Article
TY - JOUR
T1 - Large‐scale atmospheric controls on local precipitation in tropical Mexico
AU - Hewitson, Bruce C.
AU - Crane, Robert George
PY - 1992/1/1
Y1 - 1992/1/1
N2 - Sixty‐five percent of the short term variability in southern Mexican precipitation is accounted for by the large‐scale circulation. Empirical relationships between sea level and 500 mb circulation fields, and the local precipitation in Chiapas, Mexico, are derived using a neural net. Although much of the rainfall is a result of convective processes, the neural net captures the onset of the precipitation season, and the phase of individual precipitation events. The analysis indicates that both of these aspects of the precipitation regime are controlled to a large extent by the atmospheric circulation.
AB - Sixty‐five percent of the short term variability in southern Mexican precipitation is accounted for by the large‐scale circulation. Empirical relationships between sea level and 500 mb circulation fields, and the local precipitation in Chiapas, Mexico, are derived using a neural net. Although much of the rainfall is a result of convective processes, the neural net captures the onset of the precipitation season, and the phase of individual precipitation events. The analysis indicates that both of these aspects of the precipitation regime are controlled to a large extent by the atmospheric circulation.
UR - http://www.scopus.com/inward/record.url?scp=0027042223&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0027042223&partnerID=8YFLogxK
U2 - 10.1029/92GL01423
DO - 10.1029/92GL01423
M3 - Article
AN - SCOPUS:0027042223
VL - 19
SP - 1835
EP - 1838
JO - Geophysical Research Letters
JF - Geophysical Research Letters
SN - 0094-8276
IS - 18
ER -