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High-temporal resolution meteorological output from the Parallel Climate Model (PCM) is used to assess changes in wildland fire danger across the western United States due to climatic changes projected in the 21st century. A business-as-usual scenario incorporating changing greenhouse gas and aerosol concentrations until the year 2089 is compared to a 1975 - 1996 base period. Changes in relative humidity, especially drying over much of the West, are projected to increase the number of days of high fire danger ( based on the energy release component (ERC) index) at least through the year 2089 in comparison to the base period. The regions most affected are the northern Rockies, Great Basin and the Southwest - regions...
For each HADCM3 gridcell: An average precipitation was calculated for 1961-1990 based on the simulated transient historical data. Result is a 12 month simulated climatology at the scale of the HADCM3 grid. For each forecast month a ratio anomaly was calculated (ex. January_2021 / Mean_historical_January). Anomalies were capped at 5.0. Result is a 100 year monthly set of precipitation anomalies at the scale of the HADCM3 grid. For each forecast month: Gridded anomalies were interpolated to a ½ degree grid using a bilinear interpolation. For each forecast month and each ½ degree gridcell: The anomaly for that month is mulitplied to the CRU historical precipitation (ex. CRU_Mean_January_1961-1990...
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
ShakeMap is a product of the U.S. Geological Survey Earthquake Hazards Program in conjunction with regional seismic network operators. ShakeMap sites provide near-real-time maps of ground motion and shaking intensity following significant earthquakes. These maps are used by federal, state, and local organizations, both public and private, for post-earthquake response and recovery, public and scientific information, as well as for preparedness exercises and disaster planning.
Multicultural representation is a stated goal of many global scientific assessment processes. These processes aim to mobilize a broader, more diverse pool of information for international knowledge-building and synthesis processes while increasing social legitimacy and inclusiveness. Often, enhancing cultural diversity is encouraged through engagement of diverse expert teams and sources of knowledge in different languages. In this dataset, we examined the incorporation of multicultural diversity in the eight published assessments of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). The culturally diversity of experts and knowledge holders participating in the process is...
Categories: Data;
Tags: Global,
biodiversity,
climatologyMeteorologyAtmosphere,
countries,
scientific careers
This inventory was originally created by Harp and Keefer (1990) describing the landslides triggered by the M 6.7 Coalinga, California earthquake that occurred on 2 May 1983 at 23:42:38 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
EHP,
Earthquake,
Earthquake Hazards Program,
Earthquakes,
This inventory was originally created by Montgomery and others (2019) describing the landslides triggered by the M 7.1 Mexico City earthquake that occurred on 19 September 2017 at 18:14:38 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: EHP,
Earthquake,
Earthquake Hazards Program,
Earthquakes,
GHSC,
This inventory was originally created by Ruiz and others (2019) describing the landslides triggered by the M 6.1 Cinchona, Costa Rica earthquake that occurred on 8 January 2009 at 19:21:35 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Costa Rica,
EHP,
Earthquake,
Earthquake Hazards Program,
Earthquakes,
This inventory was originally created by Marc and others (2016) describing the landslides triggered by the M 7.6 Valle de la Estrella, Costa Rica earthquake, also known as the Limon earthquake, that occurred on 22 April 1991 at 21:56:51 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Central America,
Costa Rica,
EHP,
Earthquake,
Earthquake Hazards Program,
Conclusions: Book provides a comprehensive introduction to the principles and theories in landscape ecology. Early chapters introduce basic concepts and terminology that build a foundation for understanding more complex issues such as landscape disturbance dynamics, formulas and metrics for quantifying landscape patterns, and predictive models of landscape change. Thresholds/Learnings:
Categories: Publication;
Types: Citation;
Tags: Global,
Land use configuration,
Landscape fragmentation,
Natural cover amount,
Natural cover heterogeneity,
Global Average Monthly Temperature for 2070-2099, CSIRO Mk3.0 SRES A2 at a ½ Degree Grid Resolution
For each CSIRO Mk3.0 gridcell: A 12-month average temperature was calculated for 1961-1990 based on the simulated transient historical data. Result is a 12 month simulated climatology at the scale of the CSIRO Mk3.0 grid. For each forecast month a difference anomaly was calculated (ex. January_2021 – Mean_historical_January). Result is a 100 year monthly set of temperature anomalies at the scale of the CSIRO Mk3.0 grid. For each forecast month: Gridded anomalies were interpolated to a ½ degree grid using a bilinear interpolation. For each forecast month and each ½ degree gridcell: The anomaly for that month is added to the CRU historical mean temperature (ex. CRU_Mean_January_1961-1990 + January_2021_anomaly)....
The Last of the Wild represents the least influenced (most wild) areas of major terrestrial biomes. Most wild in each biome are defined as areas with Human Footprint Index values less than or equal to 10. The map shows the distribution of what remains the least influenced areas in each biome. The Last of the Wild Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is derived from the LWP-2 Human Footprint Dataset. The gridded data are classified according to their raster value (wild = 0-10; not wild >10). The ten largest polygons of more than 5 square kilometers within each biome by realm are selected and identified. The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia...
The Global Human Footprint Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Human Footprint Index (HF) expressses as a percentagethe relative human influence in each...
Our responses to the emerging challenges of energy planning have to be faster and more effective than they have been so far. While the Gulf war has forced us to realise the danger, it is to be hoped that the solutions that are sought will take the form not of short-term palliatives but of a new direction in our planning effort. Sixth of a series of articles discussing the broad approach of the Planning Commission under the V P Singh government.
Categories: Publication;
Types: Citation;
Tags: Effort,
climate change,
global,
mitigation,
scenarios
A complete understanding of the resource consumption, embodied energy, and environmental emissions of civil projects in China is difficult due to the lack of comprehensive national statistics. To quantitatively assess the energy and environmental impacts of civil construction at a macro-level, this study developed a 24 sector environmental input-output life-cycle assessment model (I-O LCA) based on 2002 Chinese national economic and environmental data. The model generates an economy-wide inventory of energy use and environmental emissions. Estimates based on the level of economic activity related to planned future civil works in 2015 are made. Results indicate that the embodied energy of construction projects accounts...
A comprehensive list of 38 categories of anthropogenic drivers of change in marine ecosystems developed through expert workshops (S1) was assessed for data availability on a global scale. We intentionally did not further subdivide these categories into unique drivers (e.g. each specific type of pollutant) as this would lead to over-emphasis of certain activities when impacts are summed. We limited our analyses to anthropogenic drivers with pre-existing global coverage or those for which we could assemble or develop global coverage. Although many regional-scale data and data with a global scope but incomplete coverage exist for a variety of specific human activities, inclusion of these data would bias global comparisons...
This is aggregated results from a run of the MC1 model (MC1_GLOBAL version). The GCM data were downscaled to a half degree grid resolution using an anomaly approach. The baseline historical data was based on CRU TS 2.0 climate. For this map percent change was calculated as: (((Future – Historical)/Historical)*100) Where Future is the average value for 2050-2099 and Historical is the average value for 1950-1999. See related datasets: http://app.databasin.org/app/pages/galleryPage.jsp?id=f7eee62457f641dd85016b7fec7e7c67
This is a combination of CRU monthly averages of tmp (daily mean temperature) and dtr (diurnal temperature range). Tmax is calculated as tmp + (0.5dtr). This particular map is an average for all months for the years 1961-1990.
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