Sentences with phrase «noaa modeling research»

New NOAA modeling research backs up those hunches with numbers.

Not exact matches

The study was partially funded by Columbia University Research Initiatives for Science and Engineering (RISE) award; the Office of Naval Research; NOAA's Climate Program Office's Modeling, Analysis, Predictions and Projections; Willis Research Network; and the National Science Foundation.

The model was developed recently by the US government's National Oceanographic and Atmospheric Administration (NOAA) to make use of new sea and wind data collected from instruments moored across the Pacific as part of the international Tropical Ocean / Global Atmosphere (TOGA) research programme.

Vincent Saba, a research fishery biologist at NOAA's Northeast Fisheries Science Center (NEFSC), and his study co-authors used annual nest counts from Florida and a time - series of climate data in turtle - nesting population models.

«This new high - resolution climate model is able to simulate regional - scale precipitation with considerably improved accuracy compared to previous generation models,» said Tom Delworth, a research scientist at NOAA's Geophysical Fluid Dynamics Laboratory in Princeton, N.J., who helped develop the new model and is co-author of the paper.

Models were developed by scientists at NOAA's National Centers for Coastal Ocean Science (NCCOS), the University of Michigan, LimnoTech, the University of Michigan Cooperative Institute for Limnology and Ecosystems Research, and the NOAA Great Lakes Environmental Research Laboratory (GLERL).

Previously a postdoctoral research associate at the NOAA NEFSC's Woods Hole Laboratory, Fay's research focuses on spatial modeling and statistical analyses of marine fisheries populations with an expertise in quantitative fisheries science and ecosystem modeling.

NOAA scientists have developed a new high - resolution climate model that shows southwestern Australia's long - term decline in fall and winter rainfall is caused by increases in manmade greenhouse gas emissions and ozone depletion, according to research published today in Nature Geoscience.

ACCMIP participants include scientists at the following research centers or using these centers» models: CCC (Canada), CICERO (Norway), ECHAM (Germany), Hadley Centre / Met Office (UK), LLNL (USA), LSCE / IPSL (France), Meteo France (France), MIROC / CCSR / NIES (Japan), NASA GISS (USA), NASA GSFC (USA), NCAR (USA), NOAA GFDL (USA), PNNL (USA), and UKCA / NIWA (New Zealand).

We compare aircraft observations to modeled CH4 distributions by accounting for a) transport using the Stochastic Time - Inverted Lagrangian Transport (STILT) model driven by Weather Research and Forecasting (WRF) meteorology, b) emissions from inventories such as EDGAR and ones constructed from California - specific state and county databases, each gridded to 0.1 ° x 0.1 ° resolution, and c) spatially and temporally evolving boundary conditions such as GEOS - Chem and a NOAA aircraft profile measurement derived curtain imposed at the edge of the WRF domain.

I'm an engineer, but I worked in a NOAA research vessel (needed money for college), took three Oceanography courses, have experience running large scale gridded dynamic models, have been involved in research to establish paramerization parameters for our models, and worked for several years in the Arctic together with a team of climatologists and «ice experts».

The Modeling, Analysis, Predictions, and Projections (MAPP) Program is a competitive grants program in the NOAA Office of Oceanic and Atmospheric Research Climate Program Office with the mission to enhance the United States» capability to understand and predict natural variability and changes in Earth's climate system.

The PARMA will be based on analyses and modeling using DBO - generated data and data from projects supported by NOAA, NSF, BOEM, NASA, the North Pacific Research Board and other sources.

According to John Fyfe, senior research scientist at the Canadian Centre for Climate Modeling and Analysis, and the paper's 11 co-authors, the NOAA study failed to find evidence of a slowdown primarily because its methods were to compare this century's warming data against a 50 - year baseline, from 1950 to 1999.

For example, the model was able to simulate 18 (12) model years per day when using approximately 4000 (2600) processors on the NOAA Research Supercomputer (GAEA) located at the Oak Ridge National Laboratory.

Finally, it is therefore inescapable that: if the official GAST data from NOAA, NASA and Hadley CRU are invalid, then both the «basic physical understanding» of climate and the associated climate models will also be invalid — resulting in tens of billions in wasted climate research funding.