30-seconds (1 Km2) gridded Future Climate Change Scenarios for Honduras

Future climate change scenarios for Honduras were developed by downscaling CMIP5 projections from 18 General Circulation Models (GCMs) for four Representative Concentration Pathways (RCP’s; RCP 2.6, 4.5, 6.0, and 8.5; IPCC, 2013) and three future periods named as 2030s (Climatic normal –CN- for 2021 to 2050), 2050s (CN for 2041-2070) and 2080s (CN for 2071 to 2100). The future periods were selected by PNUD and MiAmbiente in Honduras in order to get climatic information for the decision making processes around the climate change in the short, medium and large terms. We follow the delta method downscaling described in Ramírez-Villegas and Jarvis (2010). We developed surfaces at 30-seconds (1 Km2) of spatial resolution, for monthly precipitation (prec), monthly minimum temperature (tmin), maximum temperature (tmax), mean temperature (tmean), diurnal temperature range (dtr), solar radiation (rsds) and wind speed mean (wsmean). We make available three types of data: • Downscaled future scenarios for Honduras for each of the 18 GCM. • Downscaled future scenarios for Honduras for the ensemble (average) of all GCM. • Anomalies or climatic changes for future for Honduras for an ensemble (average) of all GCMs available. The data is part of work carried out by CIAT in the generation of the climate change scenarios for Honduras for the Third National Communication to the UNFCCC

Replication Data for: 4-km gridded historical and future scenarios for sea level rise in Honduras

Future sea level rise change scenarios for Honduras were derivate from 10 General Circulation Models (GCMs) of the CMIP5 projections for two Representative Concentration Pathways (RCP’s; RCP 4.5 and 8.5; IPCC, 2013) and the time-series 2006-2100. We resample the projections at 4-km and aggregated into the three future periods named as 2030s (Climatic normal –CN- for 2026 to 2045), 2050s (CN for 2046-2065) and 2080s (CN for 2076 to 2095) as well. The future periods were selected by PNUD and MiAmbiente in Honduras in order to get climatic information for the decision making processes around the climate change in the short, medium and large terms. We used the variable Sea Surface Height bove geoid (zos). We make available two types of data: • _ts: Sea level height changes between the reference period 1996–2015 and the historical/future yearly GCM’s projections. •_avg: Sea level height changes between the reference period 1996–2015 and the future climate normal (2030s, 2050s, 2080s) GCM’s projections. The baseline conditions came from “the Global Ocean - Multimission altimeter satellite gridded sea surface heights and derived variables”, distributed by the Copernicus Marine Environment Monitoring Service. Specifically, we use the Sealevel-Glo-Phy-L4-Rep-Observations-008-047 dataset. It processes data from all altimeter missions: Jason-3, Sentinel-3A, HY-2A, Saral/AltiKa, Cryosat-2, Jason-2, Jason-1, T/P, ENVISAT, GFO, ERS1/2. Resolution is 0.25X0.25 degrees and has an irregular temporal resolution. The data starts in 1993 and it's ongoing. We use the 20-yr average and the time-series from 1996-2015. We re-distributed the processed data for: •_ts: Sea level height changes between the reference period 1996–2015 and the historical gridded satellite data. •_avg: Sea level height climate normal 1996–2015 of the historical gridded satellite data. The data is part of work carried out by CIAT in the generation of the climate change scenarios for Honduras for the Third National Communication to the UNFCCC

30-seconds (1 Km2) monthly, seasonal and annual gridded Historical Climate Surfaces for Honduras.

The gridded climate surfaces for Honduras (30-year average) were developed from weather station observations from different official sources (local, national and regional institutions) for the period 1981 to 2010 (latest period defined by WMO to calculate the climatological standard normal), at 30-seconds (1 Km2) spatial resolution, for monthly precipitation (prec), monthly minimum temperature (tmin), maximum temperature (tmax), mean temperature (tmean) and diurnal temperature range (dtr). In addition, the seasonal and annual surfaces were derived based on the monthly datasets. For the spatialization (interpolation), we followed the method described by Hijmans et al. (Hijmans et al., 2005),using as inputs the climatic normal for all weather stations after the quality control data and fill gaps processes. In areas with low station density weather observations were complemented with pseudo-stations from TerraClimate (Abatzoglou et al., 2018) for temperature and CHIRPS (Funk et al., 2015) for precipitation. The dataset is part of work carried out by CIAT in the generation of the climate change scenarios for Honduras for the Third National Communication to the UNFCCC

30-seconds (1 Km2) monthly, seasonal and annual gridded Historical Climate Surfaces for Honduras.

The gridded climate surfaces for Honduras (30-year average) were developed from weather station observations from different official sources (local, national and regional institutions) for the period 1981 to 2010 (latest period defined by WMO to calculate the climatological standard normal), at 30-seconds (1 Km2) spatial resolution, for monthly precipitation (prec), monthly minimum temperature (tmin), maximum temperature (tmax), mean temperature (tmean) and diurnal temperature range (dtr). In addition, the seasonal and annual surfaces were derived based on the monthly datasets. For the spatialization (interpolation), we followed the method described by Hijmans et al. (Hijmans et al., 2005),using as inputs the climatic normal for all weather stations after the quality control data and fill gaps processes. In areas with low station density weather observations were complemented with pseudo-stations from TerraClimate (Abatzoglou et al., 2018) for temperature and CHIRPS (Funk et al., 2015) for precipitation. The dataset is part of work carried out by CIAT in the generation of the climate change scenarios for Honduras for the Third National Communication to the UNFCCC