The relationships between large-scale atmospheric circulation types and seasonal regimes of daily precipitation over Iran are assessed using daily precipitation from a high-resolution gridded dataset provided by the Asian Precipitation-Highly Resolved Observational Data Integration Towards the Evaluation of Water Resources (APHRODITE) Project. Regional spatial modes of daily precipitation variability were identified by S-mode Principal Component Analysis (PCA) with Varimax rotation, applied to the subset of days when at least 10% of all grid-points over Iran received precipitation ≥ 5 mm. The study refers to the period 1961-2004 and is carried out for each season (excluding summer) separately. To characterize the dynamical features associated with each regional precipitation regime (PR), composites of daily atmospheric fields are computed by only averaging days with rotated PCA scores ≥ 1.5 (strong positive phase). In autumn and winter, Iran is divided into five PRs, while four PRs are identified in spring. Results suggest that the spatial distribution of precipitation over Iran is largely governed by the geographical position of both the mid-tropospheric trough over the Middle East and the Arabian anticyclone. In fact, in almost all PRs, the trough, as a pre-conditioning factor, leads to regional-scale ascending motions, whereas the Arabian anticyclone induces low-tropospheric moisture transports from southern water bodies into the cyclonic systems near Iran, triggering rain-generating conditions. © 2011 Royal Meteorological Society.

Spatial patterns and regimes of daily precipitation in Iran in relation to large-scale atmospheric circulation / Tayeb, Raziei; Mofidi, Abbas; Joao A., Santos; Bordi, Isabella. - In: INTERNATIONAL JOURNAL OF CLIMATOLOGY. - ISSN 0899-8418. - 32:8(2012), pp. 1226-1237. [10.1002/joc.2347]

Spatial patterns and regimes of daily precipitation in Iran in relation to large-scale atmospheric circulation

BORDI, Isabella
2012

Abstract

The relationships between large-scale atmospheric circulation types and seasonal regimes of daily precipitation over Iran are assessed using daily precipitation from a high-resolution gridded dataset provided by the Asian Precipitation-Highly Resolved Observational Data Integration Towards the Evaluation of Water Resources (APHRODITE) Project. Regional spatial modes of daily precipitation variability were identified by S-mode Principal Component Analysis (PCA) with Varimax rotation, applied to the subset of days when at least 10% of all grid-points over Iran received precipitation ≥ 5 mm. The study refers to the period 1961-2004 and is carried out for each season (excluding summer) separately. To characterize the dynamical features associated with each regional precipitation regime (PR), composites of daily atmospheric fields are computed by only averaging days with rotated PCA scores ≥ 1.5 (strong positive phase). In autumn and winter, Iran is divided into five PRs, while four PRs are identified in spring. Results suggest that the spatial distribution of precipitation over Iran is largely governed by the geographical position of both the mid-tropospheric trough over the Middle East and the Arabian anticyclone. In fact, in almost all PRs, the trough, as a pre-conditioning factor, leads to regional-scale ascending motions, whereas the Arabian anticyclone induces low-tropospheric moisture transports from southern water bodies into the cyclonic systems near Iran, triggering rain-generating conditions. © 2011 Royal Meteorological Society.
2012
aphrodite; atmospheric circulation types; daily precipitation; iran; precipitation regimes
01 Pubblicazione su rivista::01a Articolo in rivista
Spatial patterns and regimes of daily precipitation in Iran in relation to large-scale atmospheric circulation / Tayeb, Raziei; Mofidi, Abbas; Joao A., Santos; Bordi, Isabella. - In: INTERNATIONAL JOURNAL OF CLIMATOLOGY. - ISSN 0899-8418. - 32:8(2012), pp. 1226-1237. [10.1002/joc.2347]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/537268
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