This encompass all information related to past, current and projected climate trendsincluding global warming, climate extremes etc https://www.taccire.sua.ac.tz/handle/123456789/35 2026-04-06T18:35:57Z 2026-04-06T18:35:57Z Chang’a, Ladislaus B Kijazi, Agnes L Luhunga, Philbert M Ng’ongolo, Hashim K Mtongori, Habiba I https://www.taccire.sua.ac.tz/handle/123456789/557 2021-06-24T07:19:16Z 2017-10-13T00:00:00Z

Spatial and Temporal Analysis of Rainfall and Temperature Extreme Indices in Tanzania Chang’a, Ladislaus B; Kijazi, Agnes L; Luhunga, Philbert M; Ng’ongolo, Hashim K; Mtongori, Habiba I Climate extreme indices in Tanzania for the period 1961-2015 are analyzed using quality controlled daily rainfall, maximum and minimum temperatures data. RClimdex and National Climate Monitoring Products (NCMP) software developed by the commission for Climatology of the World Meteorological Organization (WMO) were used for the computation of the indices at the respective stations at monthly and annual time scales. The trends of the extreme indices averaged over the country were computed and tested for statistical significance. Results showed a widespread statistical significant increase in temperature extremes consistent with global warming patterns. On average, the annual timescale indicate that mean temperature anomaly has increased by 0.69˚C, mean percentage of warm days has increased by 9.37%, and mean percentage of warm nights has increased by 12.05%. Mean percentage of cold days and nights have decreased by 7.64% and 10.00% respectively. A non-statistical significance decreasing trends in rainfall is depicted in large parts of the country. Increasing trend in percentage of warm days and warm nights is mostly depicted over the eastern parts of the country including areas around Kilimanjaro, Dar-es-Salaam, Zanzibar, Mtwara, and Mbeya regions. Some parts of the Lake Victoria Basin are also characterized by increasing trend of warm days and warm nights. However, non-statistical significant decreasing trends in the percentage of warm days and warm nights are depicted in the western parts of the country including Tabora and Kigoma regions and western side of the lake Victoria. These results indicate a clear dipole pattern in temperature dynamics between the eastern side of the country mainly influenced by the Indian Ocean and the western side of the country largely influenced by the moist Congo air mass associated with westerly winds. The results also indicate that days and nights are both getting warmer, though, the warming trend is much faster in the minimum temperature than maximum temperature. The paper is published

2017-10-13T00:00:00Z Tumbo, Siza Mzirai, Omari Mourice, Sixbert Msongaleli, Barnabas Wambura, Frank Kadigi, Ibrahim Sanga, Camilius Kahimba, Frederick Ngongolo, Hashim Sangalugembe, Chuki Mutabazi, Khamaldin Sumari, Neema https://www.taccire.sua.ac.tz/handle/123456789/516 2021-06-24T07:19:15Z 2015-02-01T00:00:00Z

Assessing the impacts of climate variability and change on agricultural systems in Eastern Africa while enhancing the region’s capacity to undertake integrated assessment of vulnerabilities to future changes in climate - Tanzania Tumbo, Siza; Mzirai, Omari; Mourice, Sixbert; Msongaleli, Barnabas; Wambura, Frank; Kadigi, Ibrahim; Sanga, Camilius; Kahimba, Frederick; Ngongolo, Hashim; Sangalugembe, Chuki; Mutabazi, Khamaldin; Sumari, Neema

2015-02-01T00:00:00Z Luhunga, Modest Luhunga Mutayoba, Edmund https://www.taccire.sua.ac.tz/handle/123456789/513 2021-06-24T07:19:15Z 0206-09-29T00:00:00Z

Moist Potential Vorticity Vector for Diagnosis of Heavy Rainfall Events in Tanzania Luhunga, Modest Luhunga; Mutayoba, Edmund In this paper, we modify the convective vorticity vector ( CVV ) defined as a cross product of absolute vorticity and gradient of equivalent potential temperature to moist potential vorticity vector (MPVV) defined as a cross product of absolute vorticity (ζa ) and the gradient of the moist-air entropy potential temperature (θs ). The patterns of (MPVV ) are compared with the patterns of heavy rainfall events that occurred over different regions in Tanzania on 20th to 22nd December, 2011 and on 5th to 8th May, 2015. Moreover, the article aimed at assessing the relative contribu- tions of the magnitude, horizontal and vertical components of (MPVV ) detecting on the observed patterns of rainfall events. Dynamic and thermodynamic variables: wind speed, temperature, atmospheric pressure and relative humidity from numeri- cal output generated by the Weather Research and Forecasting (WRF) model run- ning at Tanzania Meteorological Agency (TMA) were used to compute MPVV. It is found that MPVV provide accurate tracking of locations received heavy rainfall, suggesting its potential use as a dynamic tracer for heavy rainfall events in Tanzania. Finally it is found that the first and second components of MPVV contribute al- most equally in tracing locations received heavy rainfall events. The magnitude of MPVV described the locations received heavy rainfall events better than the com- ponents.

0206-09-29T00:00:00Z Malimbwi, R.E. Eid, T. Chamshama, S.A.O. https://www.taccire.sua.ac.tz/handle/123456789/504 2021-06-24T07:19:15Z 2016-01-01T00:00:00Z

Allometric tree biomass and volume models in Tanzania Malimbwi, R.E.; Eid, T.; Chamshama, S.A.O. The publication is one of outputs of the project on "Development of biomass estimation models for carbon monitoring in selected vegetation types of Tanzania” under the Climate Change Impacts, Adaptation and Mitigation (CCIAM) programme at Sokoine University of Agriculture(SUA), The publication has multiple contributors who participated in different different specializations. The main objective of the project was to develop models and methods for assessing and monitoring carbon stocks in Tanzania required for implementation of REDD+ at local as well as national levels. Vegetation types/tree species covered were miombo woodlands, lowland and humid montane forests, mangrove forests, thicket, Acacia-Commiphora woodlands, forest plantations (Pinus patula and Tectona grandis), and coconut, cashewnut and baobab trees. For some vegetation types, both biomass and volume models were developed while for others only biomass models have been covered. For some vegetation types, both biomass and volume models were developed while for others only biomass models have been covered. The book may be useful for scholars who wish to engage in tree allometric modelling. The developed models may also be used in REDD+ estimations and other iicarbon trade mechanisms. It may also be useful to the practicing forester for determination of forest stocking levels needed for forest planning.

2016-01-01T00:00:00Z