%0 Journal Article
%T Spatio-Temporal Assessment of the Performance of March to May 2020 Long Rains and Its Socio-Economic Implications in Northern Coast of Tanzania
%A Kombo Hamad Kai
%A Agnes Laurence Kijazi
%A Sarah E. Osima
%A Habiba Ismail Mtongori
%A Makame Omar Makame
%A Hafidh Juma Bakari
%A Omar Asya Hamad
%J Atmospheric and Climate Sciences
%P 767-796
%@ 2160-0422
%D 2021
%I Scientific Research Publishing
%R 10.4236/acs.2021.114045
%X The
spatio-temporal analysis of the performance of the March to May<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 observed data, long</span><span style=\"font-family:;\" \"=\"\">-</span><span style=\"font-family:;\" \"=\"\">term monthly and MAM percentage changes were
calculated. Besides, </span><span style=\"font-family:;\" \"=\"\">the </span><span style=\"font-family:;\" \"=\"\">correlation between rainfall anomalies with an area</span><span style=\"font-family:;\" \"=\"\">-</span><span
%K March to May 2020 Rainfall Assessment
%K Sea Surface Temperatures Anomalies (SSTA) Assessments
%K Precipitable Water (PRW) and Ocean Net Flux
%K Relative Humidity
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=112909