Filters: Tags: Future Scenarios (X)
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These files contain two datasets. First are vertical fluxes of energy, water vapor and carbon dioxide calculated by the eddy covariance technique using measurements taken at Olaa tower (Flux Data). Second are results of historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites (CLM Output Data). Output includes time series of energy, water vapor, and carbon dioxide exchanges at each site. The historical runs are forced by gap-filled measured time series at each site. Future data sets were contructed by shifting values in the historical run by increments selected for possible future scenarios. Increments were based on the results of statistical downscaling of future climate...
Categories: Data;
Tags: Forests,
Landscapes,
Pacific Islands CASC,
community land model,
ecosystem carbon exchange,
Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the...
Categories: Data;
Tags: Climate Shifts,
Downscaling,
Future Scenarios,
Global Circulation Models,
Hawai’i,
Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the...
Categories: Data;
Tags: Climate Shifts,
Downscaling,
Future Scenarios,
Global Circulation Models,
Hawai’i,
Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we apply steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for climate change impact studies in Hawaii. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the...
A habitat-change model was used to compare past, present, and future land cover and management practices to assess potential impacts of alternative agricultural practices on wildlife in two agricultural watersheds, Walnut Creek and Buck Creek, in central Iowa, USA. This approach required a habitat map for each scenario based on soil type and land cover, a list of resident species, and an estimate of the suitability of each of 26 habitat classes for every species. Impact on wildlife was calculated from median percent change in habitat area relative to the present. Habitat classes with the highest species richness for native vertebrates were ungrazed riparian forest, upland forest and wet prairie. Differences in habitat...
Categories: Publication;
Types: Citation;
Tags: Butterflies,
Data Visualization & Tools,
Future scenarios,
Iowa watersheds,
Landscape change,
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research...
Serially complete forcing data for historical and future runs of the Community Land Model (CLM) for the Thurston and Olaa tower sites. The historical (2005-2015) data are derived from measured time series at each site. All gaps were filled to create serially complete time series of each forcing variable. Gap filling was based on the best available information at each time step and made use of statistical relationships with available data, historical analogues and other methods. Future (2071-2100) forcing data sets were contructed by shifting values in the historical data set by increments selected for possible future scenarios. Increments were based on the results of statistical downscaling of future climate by...
Categories: Data;
Tags: Forests,
Landscapes,
Pacific Islands CASC,
community land model,
ecosystem carbon exchange,
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research...
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bioclimatic Variables,
Climate Shifts,
Future Scenarios,
Global Circulation Models,
Hawai’i,
Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the...
Categories: Data;
Tags: Climate Shifts,
Downscaling,
Future Scenarios,
Global Circulation Models,
Hawai’i,
This is an integrated scenario project to the PFLCC line that incorporates updated critical land and water identification project layers with a decision support system for landscape conservation planning in Florida. The scenarios incorporate climate change, urbanization, and policy assumptions into the scenarios.
Categories: Data,
Project;
Tags: Conservation Plan/Design/Framework,
Decision support,
Everview,
LCC Network Science Catalog,
Project,
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