Spatio-Temporal Assessment of the Performance of March to May 2020 Long Rains and Its Socio-Economic Implications in Northern Coast of Tanzania  被引量:1

Spatio-Temporal Assessment of the Performance of March to May 2020 Long Rains and Its Socio-Economic Implications in Northern Coast of Tanzania

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作  者:Kombo Hamad Kai Agnes Laurence Kijazi Sarah E. Osima Habiba Ismail Mtongori Makame Omar Makame Hafidh Juma Bakari Omar Asya Hamad Kombo Hamad Kai;Agnes Laurence Kijazi;Sarah E. Osima;Habiba Ismail Mtongori;Makame Omar Makame;Hafidh Juma Bakari;Omar Asya Hamad(Tanzania Meteorological Agency (TMA), Institute of Marine Sciences (IMS), University of Dar es Salam (UDSM), Zanzibar, Tanzania;Tanzania Meteorological Authority (TMA) Headquarters, Ubungo Plaza, Dar es Salaam, Tanzania)

机构地区:[1]Tanzania Meteorological Agency (TMA), Institute of Marine Sciences (IMS), University of Dar es Salam (UDSM), Zanzibar, Tanzania [2]Tanzania Meteorological Authority (TMA) Headquarters, Ubungo Plaza, Dar es Salaam, Tanzania

出  处:《Atmospheric and Climate Sciences》2021年第4期767-796,共30页大气和气候科学(英文)

摘  要:The spatio-temporal analysis of the performance of the March to May</span><span style="font-family:""> (MAM) <span>2020 rainfall and its societal implications to Northern Coastal Tanzania</span> (NCT) including Zanzibar was investigated. The uniqueness of the October to December, 2019 (OND) rainfall and the extension of the January to February, 2020 rainfall in Zanzibar which coincided with MAM 2020 rainfall was among the issues which prolonged MAM 2020 rainfall in NCT and Zanzibar. The National Center for Environmental Prediction (NCEP) in collaboration with National Center for Atmospheric Research (NCAR)</span><span style="font-family:"">.</span><span style="font-family:""> Reanalysis 1 datasets of <i>u</i> (zonal)</span><span style="font-family:""> </span><span style="font-family:"">and <i>v</i> (meridional)</span><span style="font-family:""> </span><span style="font-family:"">winds</span><span style="font-family:"">,</span><span style="font-family:""> sea surface temperatures anomalies, relative humidity, amount of precipitable water and ocean net flux were</span><span style="font-family:""><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-attachment:initial;background-origin:initial;background-clip:initial;"> </span></span><span style="background-color:;"></span><span style="font-family:""><span style="background:yellow;"></span><span>analyzed. Other datasets include the Tanzania Meteorological Authority (TMA) observed rainfall</span> records</span><span style="font-family:"">,</span><span style="font-family:""> maximum and minimum temperature</span><span style="font-family:"">s</span><span style="font-family:"">. Moreover, <span>TMA and Intergovernmental Climate Prediction and Analysis Cente</span>r (ICPAC)</span><span style="font-family:"">.</span><span style="font-family:""> MAM 2020 rainfall and temperature forecast reports were interpreted. Gridded and observed datasets were calculated into monthly and seasonal averages. As forThe spatio-temporal analysis of the performance of the March to May</span><span style="font-family:""> (MAM) <span>2020 rainfall and its societal implications to Northern Coastal Tanzania</span> (NCT) including Zanzibar was investigated. The uniqueness of the October to December, 2019 (OND) rainfall and the extension of the January to February, 2020 rainfall in Zanzibar which coincided with MAM 2020 rainfall was among the issues which prolonged MAM 2020 rainfall in NCT and Zanzibar. The National Center for Environmental Prediction (NCEP) in collaboration with National Center for Atmospheric Research (NCAR)</span><span style="font-family:"">.</span><span style="font-family:""> Reanalysis 1 datasets of <i>u</i> (zonal)</span><span style="font-family:""> </span><span style="font-family:"">and <i>v</i> (meridional)</span><span style="font-family:""> </span><span style="font-family:"">winds</span><span style="font-family:"">,</span><span style="font-family:""> sea surface temperatures anomalies, relative humidity, amount of precipitable water and ocean net flux were</span><span style="font-family:""><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-attachment:initial;background-origin:initial;background-clip:initial;"> </span></span><span style="background-color:;"></span><span style="font-family:""><span style="background:yellow;"></span><span>analyzed. Other datasets include the Tanzania Meteorological Authority (TMA) observed rainfall</span> records</span><span style="font-family:"">,</span><span style="font-family:""> maximum and minimum temperature</span><span style="font-family:"">s</span><span style="font-family:"">. Moreover, <span>TMA and Intergovernmental Climate Prediction and Analysis Cente</span>r (ICPAC)</span><span style="font-family:"">.</span><span style="font-family:""> MAM 2020 rainfall and temperature forecast reports were interpreted. Gridded and observed datasets were calculated into monthly and seasonal averages. As for

关 键 词:March to May 2020 Rainfall Assessment Sea Surface Temperatures Anomalies (SSTA) Assessments Precipitable Water (PRW) and Ocean Net Flux Relative Humidity 

分 类 号:O17[理学—数学]

 

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