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    Temporal Patterns of Precipitation and Vegetation Variability over Zimbabwe during Extreme Dry and Wet Rainfall Seasons

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 012::page 2790
    Author:
    Mberego, Seth
    ,
    Gwenzi, Juliet
    DOI: 10.1175/JAMC-D-14-0006.1
    Publisher: American Meteorological Society
    Abstract: limatic variability over southern Africa is a well-recognized phenomenon, yet knowledge about the temporal variability of extreme seasons is lacking. This study investigates the intraseasonal progression of extreme seasons over Zimbabwe using precipitation and normalized difference vegetation index (NDVI) data covering the 1981?2005 period. Results show that the greatest deficits/surpluses of precipitation occur during the middle of the rainfall season (January and February), and the temporal distribution of precipitation during extreme dry seasons seems to shift earlier than that of extreme wet seasons. Furthermore, anomalous wet (dry) conditions were observed prior to the development of extreme dry (wet) seasons. Impacts of precipitation variations on vegetation lag by approximately 1?2 months. The semiarid southern region experiences more variability of vegetation cover than do the northern and eastern regions. Three distinct temporal patterns of dry years were noted by considering the maximum NDVI level, the mid-postseason NDVI condition, and nested dry spells. The findings of this study emphasize that climate extremes ought not to be simply understood in terms of total seasonal precipitation, because they may have within them some nested distribution patterns that may have a strong influence on primary production.
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      Temporal Patterns of Precipitation and Vegetation Variability over Zimbabwe during Extreme Dry and Wet Rainfall Seasons

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4217314
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    contributor authorMberego, Seth
    contributor authorGwenzi, Juliet
    date accessioned2017-06-09T16:50:13Z
    date available2017-06-09T16:50:13Z
    date copyright2014/12/01
    date issued2014
    identifier issn1558-8424
    identifier otherams-75023.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217314
    description abstractlimatic variability over southern Africa is a well-recognized phenomenon, yet knowledge about the temporal variability of extreme seasons is lacking. This study investigates the intraseasonal progression of extreme seasons over Zimbabwe using precipitation and normalized difference vegetation index (NDVI) data covering the 1981?2005 period. Results show that the greatest deficits/surpluses of precipitation occur during the middle of the rainfall season (January and February), and the temporal distribution of precipitation during extreme dry seasons seems to shift earlier than that of extreme wet seasons. Furthermore, anomalous wet (dry) conditions were observed prior to the development of extreme dry (wet) seasons. Impacts of precipitation variations on vegetation lag by approximately 1?2 months. The semiarid southern region experiences more variability of vegetation cover than do the northern and eastern regions. Three distinct temporal patterns of dry years were noted by considering the maximum NDVI level, the mid-postseason NDVI condition, and nested dry spells. The findings of this study emphasize that climate extremes ought not to be simply understood in terms of total seasonal precipitation, because they may have within them some nested distribution patterns that may have a strong influence on primary production.
    publisherAmerican Meteorological Society
    titleTemporal Patterns of Precipitation and Vegetation Variability over Zimbabwe during Extreme Dry and Wet Rainfall Seasons
    typeJournal Paper
    journal volume53
    journal issue12
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-14-0006.1
    journal fristpage2790
    journal lastpage2804
    treeJournal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 012
    contenttypeFulltext
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