Climate Change Trends and Projections
https://www.taccire.sua.ac.tz/handle/123456789/35
This encompass all information related to past, current and projected climate trendsincluding global warming, climate extremes etc2024-03-29T11:48:33ZSpatial and Temporal Analysis of Rainfall and Temperature Extreme Indices in Tanzania
https://www.taccire.sua.ac.tz/handle/123456789/557
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
2017-10-13T00:00:00ZAssessing 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
https://www.taccire.sua.ac.tz/handle/123456789/516
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
2015-02-01T00:00:00ZMoist Potential Vorticity Vector for Diagnosis of Heavy Rainfall Events in Tanzania
https://www.taccire.sua.ac.tz/handle/123456789/513
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.
0206-09-29T00:00:00ZAllometric tree biomass and volume models in Tanzania
https://www.taccire.sua.ac.tz/handle/123456789/504
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