3 edition of The seasonal cycle of energetics from the GLAS/UMD Climate GCM found in the catalog.
The seasonal cycle of energetics from the GLAS/UMD Climate GCM
David M. Straus
by National Aeronautics and Space Administration, Information Management Division in [Washington, DC]
Written in English
|Statement||David M. Starus, J. Shukla.|
|Series||NASA technical memorandum -- 100714.|
|Contributions||Shukla, J., 1944-, United States. National Aeronautics and Space Administration. Information Management Division.|
|The Physical Object|
Global climate change is a huge topic, and a difficult one to make students fully grasp the importance of. In this lecture, I start with the oxygen catastrophy and Earth's first ice age as an illustration of how changing the atmosphere can completely alter the climate of the Earth (and the life it supports). The Sciences and Exploration Directorate is the largest Earth and space science research organization in the world. Its scientists advance understanding of the Earth and its life-sustaining environment, the Sun, the solar system, and the wider universe beyond. The Directorate is part of Goddard Space Flight Center (GSFC) in Greenbelt, Maryland.
A revised land surface parameterization (SiB2) for atmospheric GCMs. Part II: The generation of global fields of terrestrial biophysical parameters from satellite data. NASA Fire Energetics Emissions Research FEER Projects Validation MODIS Radiative Power FRP Interactions Feedback Biomass Burning Water Cycle Dynamics Northern Sub-Sahara Africa NSSA Multimedia Daily Monthly Yearly Data Terra Aqua Tools Google Earth Global MappingFRP MODFIRE Links MOD14 MYD14 Thermal Anomalies AMS Climate Branch Laboratory.
A. Has a dominant cycle of 41, years from ~ to ~ degrees tilt. ions amplify or suppress the seasons, especially in the high latititudes. Because Earth is tilted, seasonal climatic changes occur as Earth revolves around the Sun and different areas of the planet receive varying amounts of solar radiation. During summer in the northern hemisphere, for example, the north pole is tilted toward the Sun, and the northern hemisphere has longer hours of daylight and warmer temperatures.
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The annual cycle of atmospheric energetics from a 2-year integration of the GLAS/UMD Climate GCM is computed and compared to results from the European Centre analyses of the GWE year, and to. Get this from a library. The seasonal cycle of energetics from the GLAS/UMD Climate GCM.
[David M Straus; J Shukla; United States. National Aeronautics and Space Administration. Information Management Division.]. The seasonal cycle of energetics from the GLAS/UMD climate.
The seasonal cycle of the GLAS/U of Maryland GCM is analysed in terms of the behaviour of the monthly and seasonal mean fields and the structure of the annual harmonic.
A global and seasonal assessment of vegetation biophysical process (VBP) effects on the hydroclimate system has been made based on general circulation models (GCM) coupled to different land models.
Straus, D. and J. Shukla, The seasonal cycle of energetics from the GLAS/UMD Climate GCM. NASA Tech. Memo. Sud, Y.
C., J. Shukla, and Y. Mintz, Influence of land surface roughness on atmospheric circulation and rainfall: A sensitivity study with GCM.
ENSO Predictability of a Fully Coupled GCM Model Using Singular Vector Analysis Article (PDF Available) in Journal of Climate July with 62 Reads How we measure 'reads'. Straus, D. and J. Shukla, A comparison of a GCM simulation of the seasonal cycle of the atmosphere to observations.
Part II: Stationary waves and transient fluctuations. Atmosphere‑Ocean, 26, ‑ Straus, D. and J. Shukla, The seasonal cycle of energetics from the GLAS/UMD Climate GCM.
Model development highlight for The GLAS 4th order GCM. Pfaendtner. 65 Response of winter forecasts made with the GLAS 4th order GCM to changes in the horizontal grid resolution. Pfaendtner. 67 D. Atmospheric Dynamics and Diagnostic Studies Comparison of forecast and observed energetics.
Baker and Y. Simple methods to derive these data from historical data or General Circulation Model (GCM) results may not adequately capture future hydrological variability.
This study assessed streamflow response to daily future climate forcing data produced by a new method using subsets of multi-model GCM ensembles for the midst century period in. The idea that Global Warming is a natural cycle is well understood from paleo data covering the past 1 million years.
Is there a difference between current climate, and the natural cycle. For the past million years the natural climate has oscillated between warm periods and ice ages. This shifting in and out of warm periods and ice ages is correlated strongly with Milankovitch cycles. Straus, D.
and J. Shukla, A comparison of a GCM simulation of the seasonal cycle of the atmosphere to observations. Part II: Stationary waves and transient fluctuations. Atmosphere Ocean, 26, Straus, D. and J.
Shukla, The seasonal cycle of energetics from the GLAS/UMD Climate GCM. NASA Technical Memo, Fully coupled global climate model experiments are performed using the Community Climate System Model version for pre-industrial, present, and future climate to study the effects of realistic. Li, T., and T.F.
Hogan, The role of the annual mean climate on seasonal and interannual variability of the tropical Pacific in a coupled GCM. Climate, 12, Li, T., Air-sea interactions of relevance to the ITCZ: the analysis of coupled instabilities and experiments in a hybrid coupled GCM.
Atmos. Sci., 54, This is a continuous rise in the average temperature of the Earth’s climate system. Since90% of the warming has occurred in the oceans. Despite the oceans dominant role in energy storage, the term "global warming" is also used to refer to increases in average.
Key Finding 3. Beyond the next few decades, the magnitude of climate change depends primarily on cumulative emissions of greenhouse gases and aerosols and the sensitivity of the climate system to those emissions (high confidence).Projected changes range from °–°F (°–°C) under the higher scenario (RCP) to °–°F (°–°C) under the much lower scenario (RCP2.
Some Maryland communities are beginning to develop adaptation strategies with help from Maryland’s Department of the Environment (2 refs in Adaptation Basics, in climate change basics Dropbox). For additional information on how MidAtlantic coastal communities can adapt to sea level rise, see the Climate Resilience Tookit https://toolkit.
Climate change leads to not only an increase in the average air temperature over time, but is associated with much greater variability in temperature. During the past few years in Maryland, it has become common to have temperatures fluctuate by degrees within a single week.
Abstract: Although the Texas Coastal Zone, an area of s sq km, includes 6 percent of the total area of the state, approximately 34 percent of the state's economic resources are found adjacent to the Gulf of Mexico shoreline.
This distribution of resources results, in part, from the abundance of hydrocarbon reserves, ground-water supplies, transportation facilities, fish and wildlife. Climate Prediction Center defines a climate model as a “mathematical model for quantitatively describing, simulating, and analyzing the interactions between the atmosphere and underlying surface (e.g., ocean, land, and ice).” A Global Climate Model (GCM) combines a series of models of the Earth’s atmosphere, oceans, and land surface.
As described in Chapter 1, global mean surface temperature varies in response to forcings external to the climate system that affect the global energy the last 2, years, the dominant forcings have been the natural changes in solar irradiance and volcanic eruptions, along with the more recent anthropogenic influences from greenhouse gases, tropospheric aerosols, and land use changes.Climate implications of biomass-burning-induced changes (Adegoke) Recent climate simulation studies over the India/Indian Ocean region showed that dust and black carbon (largely from biomass burning) aerosols have the potential to modify the regional climate [e.g.
Ramanathan et al., ]. An additional pathway to these simulated climate.1. Introduction  A climate forcing, measured in W/m 2, is an imposed change of the planetary energy examples of forcing agents are an increase of atmospheric CO 2 or a change of solar irradiance.
It is implicitly assumed in most discussions of global climate change that global forcings of the same magnitude will yield similar changes of global mean temperature.