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Title: High resolution atmospheric measurements and modeling in the Arctic for climate change research.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1426388
Report Number(s):
SAND2017-2480PE
651522
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the NSSS Sherri Goodman in Albuquerque, NM.
Country of Publication:
United States
Language:
English

Citation Formats

Roesler, Erika Louise. High resolution atmospheric measurements and modeling in the Arctic for climate change research.. United States: N. p., 2017. Web.
Roesler, Erika Louise. High resolution atmospheric measurements and modeling in the Arctic for climate change research.. United States.
Roesler, Erika Louise. Wed . "High resolution atmospheric measurements and modeling in the Arctic for climate change research.". United States. doi:. https://www.osti.gov/servlets/purl/1426388.
@article{osti_1426388,
title = {High resolution atmospheric measurements and modeling in the Arctic for climate change research.},
author = {Roesler, Erika Louise},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2017},
month = {Wed Mar 01 00:00:00 EST 2017}
}

Conference:
Other availability
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  • The motivation for this project was to advance the science of climate change and prediction in the Arctic region. Its primary goals were to (i) develop a state-of-the-art Regional Arctic Climate system Model (RACM) including high-resolution atmosphere, land, ocean, sea ice and land hydrology components and (ii) to perform extended numerical experiments using high performance computers to minimize uncertainties and fundamentally improve current predictions of climate change in the northern polar regions. These goals were realized first through evaluation studies of climate system components via one-way coupling experiments. Simulations were then used to examine the effects of advancements in climatemore » component systems on their representation of main physics, time-mean fields and to understand variability signals at scales over many years. As such this research directly addressed some of the major science objectives of the BER Climate Change Research Division (CCRD) regarding the advancement of long-term climate prediction.« less
  • Primary activities are reported in these areas: climate system component studies via one-way coupling experiments; development of the Regional Arctic Climate System Model (RACM); and physical feedback studies focusing on changes in Arctic sea ice using the fully coupled model.
  • The primary research task completed for this project was the development of the Regional Arctic Climate Model (RACM). This involved coupling existing atmosphere, ocean, sea ice, and land models using the National Center for Atmospheric Research (NCAR) Community Climate System Model (CCSM) coupler (CPL7). RACM is based on the Weather Research and Forecasting (WRF) atmospheric model, the Parallel Ocean Program (POP) ocean model, the CICE sea ice model, and the Variable Infiltration Capacity (VIC) land model. A secondary research task for this project was testing and evaluation of WRF for climate-scale simulations on the large pan-Arctic model domain used inmore » RACM. This involved identification of a preferred set of model physical parameterizations for use in our coupled RACM simulations and documenting any atmospheric biases present in RACM.« less
  • Abstract not provided.
  • A model of litter decomposition was used to examine the potential effects of climate change on the decay of dead organic matter in a tussock tundra soil of northern Alaska, USA. Under current conditions (714% mean soil water content, 4.5[degrees]C mean soil temperature, 93-d season length), the model estimated a net release of 5.28g N[times]m[sup [minus]2][times]yr[sup [minus]1] and 79.5g CO[sub 2]-C[times]m[sup [minus]2][times]yr[sup [minus]1] from soil organic matter, respectively. These values are consistent with observations from field and laboratory studies of decomposition and plant growth. With changing climate, the greatest increase in net N release from dead organic matter (199% ofmore » current value), occurred at 600% soil moisture, 140-d season and 8.5[degrees]C mean summer temperature. The least amount of N was immobilized (46% of current value) at the present temperature, 70-d season and 1000% soil moisture content. Season length had little affect on the size of the mineral N pool, although pool size does respond to temperature and soil moisture content; ranging from 12-25 mg N[times]m[sup [minus]2]. Model results also indicate that patterns of net C and N mineralization need not be similar. Net C mineralization, estimated as cumulative CO[sub 2] efflux, is roughly proportional to total C transfer through the decomposer community. However, net N mineralization is not as closely related to mineral N pool size because of the high immobilization potential of tussock tundra soils.« less