Bias-Corrected Climate Projections using XSBCK software for Sudano-sahelian region of Cameroon

Domain:

climate

Record type:

dataset

Creator:

Publisher:

Host:

The dataset was adjusted using the cumulative distribution function transform (CDF-t; Michelangeli et al., 2009) over 1980–2099, combining historical and RCP8.5 runs for precipitation and near-surface maximum and minimum air temperature. Reference observations included Northern Cameroon interpolated rainfall (0.01°; Knops & Lavarenne, 2024) and CHIRTS-daily temperature data (0.05°; Funk et al., 2019). To limit spurious extremes, precipitation values above the 99.98th percentile were masked.

Visit

doi.org zenodo.org

Licenses

Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode

Cameroon Climate Predictions Using the SARIMA-LSTM Machine Learning Model: Adjustment of a Climate Model for the Sudano-Sahelian Zone of Cameroon

Stakeholder-Informed Socioeconomic Scenarios for Water Use Projections: A Novel Approach to Assessing Climate Change Impacts in the Sudano-Sahelian Region

Water security in the Global South is increasingly threatened by rapid socioeconomic changes, includ

Bias-corrected CMIP5 projections for climate change and assessments of impact on Malaria in Senegal under the VECTRI Model

On the climate-health issue, studies have already attempted to understand the influen

Improving Hydro-Climatic Projections with Bias-Correction in Sahelian Niger Basin

Climate simulations in West Africa have been attributed with large uncertainties. Global climate pro

Spatiotemporal drought assessment using vegetation health index and standardized precipitation index over Sudano-Sahelian region of Nigeria

Improving Hydro-Climatic Projections with Bias-Correction in Sahelian Niger Basin, West Africa