logo

Decadal and Regional Climate Prediction using Earth System Models

Sector: Forest Products and Packaging • Location: United States of America

Source: Grants.gov

Project
Archived

The consequences of climate variability and change are becoming more immediate and profound than previously anticipated. Over recent decades, the world has witnessed the onset of prolonged droughts on several continents, increased frequency of floods, loss of agricultural and forest productivity, degraded ocean and permafrost ecosystems, global sea level rise and the rapid retreat of ice sheets an

Project Information FAQ

Project Information

5 Q
The project “Decadal and Regional Climate Prediction using Earth System Models” is an infrastructure initiative in the Forest Products and Packaging sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

archived

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

The consequences of climate variability and change are becoming more immediate and profound than previously anticipated. Over recent decades, the world has witnessed the onset of prolonged droughts on several continents, increased frequency of floods, loss of agricultural and forest productivity, degraded ocean and permafrost ecosystems, global sea level rise and the rapid retreat of ice sheets and glaciers, loss of arctic sea ice, and changes in ocean currents. These important impacts highlight that climate variability and change can have significant effects on decadal and shorter time scales, with significant consequences for plant, animal, human, and physical systems. The EaSM funding opportunity enables interagency cooperation on one of the most pressing problems of the millennium: climate change and??how it is likely to affect our world. It allows the partner agencies -- National Science Foundation (NSF) and??U.S. Department of Agriculture (USDA) -- to combine resources to identify and fund the most meritorious and highest-impact projects that support their respective missions, while??avoiding duplication of effort and fostering collaboration between agencies and the investigators they support.This interdisciplinary scientific challenge calls for the development and application of next-generation Earth System Models that include coupled and interactive representations of such??components as ocean and atmospheric currents, agricultural working lands and forests,?? biogeochemistry, atmospheric chemistry,?? the water cycle and land ice.?? This solicitation seeks to attract scientists from the disciplines of geosciences, agricultural sciences, mathematics and statistics. Successful proposals will develop intellectual excitement in the participating disciplinary communities and engage diverse interdisciplinary teams with sufficient breadth to achieve the scientific objectives. We encourage proposals that have strong broader impacts, including public access to data and other research products of general interest, as well as educational, diversity, or societal impacts.The long-term goals of this solicitation are to improve on and extend current Earth System modeling capabilities to: Achieve comprehensive, reliable global and regional predictions of decadal climate variability and change through advanced understanding of the coupled interactive physical, chemical, biological, and human processes that drive the climate system, including??as they pertain to agriculture , forestry or land cover/use.Quantify the impacts of climate variability and change on natural and human systems, and identify and quantify feedback loops.Maximize the utility of available observational and model data for impact, vulnerability/resilience, and risk assessments through up/downscaling activities and uncertainty characterization.Effectively translate climate predictions and associated uncertainties into the scientific basis for policy and management decisions related to human interventions and adaptation to the projected impacts of climate change. The EaSM-3 solicitation focuses primarily??on Goal 1 (above) with the??following specific areas of interest related to decadal scales: (i) Research that has the potential to dramatically improve predictive capabilities; (ii) Prediction and attribution studies; (iii) Development and applications of metrics, methods, and tools for testing and evaluating climate and climate impact predictions and characterizing their uncertainty.?? These subareas of particular interest are described in greater detail below under Program Description:?? Areas of interest.????

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data