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

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: 4-km gridded historical and future scenarios for sea level rise in Honduras
 
Identifier https://doi.org/10.7910/DVN/ANQTXW
 
Creator Navarro Racines, Carlos E.
Monserrate, Fredy
 
Publisher Harvard Dataverse
 
Description 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.
 
Subject Agricultural Sciences
Earth and Environmental Sciences
Climate change
Climate scenarios
Sea level rise
Climate normal
Representative concentration pathways
General circulation models
Latin America and the Caribbean
Decision and Policy Analysis - DAPA
 
Contributor Barboza Candelo, Juliette
 
Type Interpolated Data
Aggregate Data
Climate Data