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212 results for “Climate Simulation”

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dryad28/100

Data from: Temperature effects on life-history trade-offs, germline maintenance and mutation rate under simulated climate warming

Mutation has a fundamental influence over evolutionary processes, but how evolutionary processes shape mutation rate remain less clear. In asexual unicellular organism, increased mutation rates have been observed in stressful environments and the reigning paradigm ascribes this increase to selection for evolvability. However, this explanation does not apply in sexually reproducing species, where little is known about how the environment affects mutation rate. Here we challenged experimental lines of seed beetle, evolved at ancestral temperature or under simulated climate warming, to repair induced mutations at ancestral and stressful temperature. Results show that temperature stress causes individuals to pass on a greater mutation load to their grand-offspring. This suggests that stress-induced mutation rates, in unicellular and multicellular organisms alike, can result from compromised germline DNA repair in low condition individuals. Moreover, lines adapted to simulated climate warming had evolved increased longevity at the cost of reproduction, and this allocation decision improved germline repair. These results suggest that mutation rates can be modulated by resource allocation trade-offs encompassing life-history traits and the germline and have important implications for rates of adaptation and extinction as well as our understanding of genetic diversity in multicellular organisms.

opencc-zeroDec 2016View details →

zenodo28/100

Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in future climate (2069-2098, RCP 8.5), Kortrijk Kennedy Park, Belgium

Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Kortrijk Kenny Park (50° 48' 2"N 3°16'13" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016).  The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098, RCP 8.5 climate change scenario) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).

opencc-by-4.0Dec 2021View details →

zenodo28/100

Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Sint-Katelijne-Waver, Belgium

Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Sint-Katelijne-Waver (51°3'25"N 4°11'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016).  The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).

opencc-by-4.0Dec 2021View details →

zenodo28/100

Dataset and simulation file associated with the paper "International climate finance and emission reductions: What do the last twenty years tell us?", by C. Gavard and N. Schoch

Dataset and simulation file associated with the paper "International climate finance and emission reductions: What do the last twenty years tell us?", by C. Gavard and N. Schoch For details, see readme file

openOct 2022View details →

dryad28/100

Climate warming benefits plant growth but net carbon uptake: Simulation of Alaska tundra and needle leaf forest using LPJ-GUESS

Climate warming has important effects on Arctic vegetation, but the roles of Arctic vegetation as a carbon sink or source in the future remain largely unknown. In this study, we selected the tundra and needle leaf forest areas in Alaska to examine vegetation growth and carbon exchange using the LPJ-GUESS model. We used flux site data to verify the accuracy of GPP and NEE simulated with climate variables, then simulated GPP and NEE from 1992 to 2014 and GPP and NEE from 2020 to 2100 under different climate scenarios, and compared the GPP and LAI simulated by the model with those under future scenarios. We used LPJ-GUESS model to explore the importance of climate variables on GPP and NEE.

opencc-zeroOct 2022View details →

zenodo28/100

Intercomparison of Two Model Climates Simulated by a Unified Weather-Climate Model System (GRIST)

Part I and other scripts.

opencc-by-4.0Jun 2024View details →

dryad28/100