Menon's previous study, based on
a global land surface climate model and published last year in Environmental Research Letters, concluded that deploying cool roofs and pavements in cities around the world could offset 57 gigatons of carbon dioxide emissions.
Better characterization of the physical processes (including feedbacks) in the present coupled -
global land surface climate models will certainly prove beneficial in stipulating future - projection scenarios and outcome.
Not exact matches
«However, it is the bringing together of observations by ecologists, theory from biologists, physics from
land surface modellers and
climate science in the
global modeling, that is revolutionary.»
This led to small errors in the reported
land surface temperatures in the October, November, December and Annual U.S. and
global climate reports.
«The reason for the layering is that
global warming in parts of Antarctica is causing
land - based ice to melt, adding massive amounts of freshwater to the ocean
surface,» said ARC Centre of Excellence for
Climate System Science researcher Prof Matthew England an author of the paper.
In Stage 4, these aerosol models are validated and coupled to
global climate models, which also incorporate models of the
land surface, ocean, and sea ice.
They are the most advanced tools currently available for simulating the response of the
global climate system — including processes in the atmosphere, ocean, cryosphere, and
land surface — to increasing greenhouse gas concentrations.
Hagemann, S., 2002: An Improved
Land Surface Parameter Dataset for
Global and Regional
Climate Models.
Overall, ecosystem - driven changes in chemistry induced
climate feedbacks that increased
global mean annual
land surface temperatures by 1.4 and 2.7 K for the 2 × and 4 × CO2 Eocene simulations, respectively, and 2.2 K for the Cretaceous (Fig. 3 E and F).
Unprecedented amounts of greenhouse gases (at least over the last few hundred thousand years) continue to accumulate in the atmosphere and the
global climate (
land surface, ocean, glaciers, stratosphere) continues to respond as predicted by theory and models.
«GCM — General Circulation Model (sometimes
Global Climate Model) which includes the physics of the atmosphere and often the ocean, sea ice and
land surface as well.»
-- Pete Wetzel, Ph. D., Research Meteorologist at NASA Goddard Space Flight Center, specializing in parameterizing the interactions between the
land surface and the atmosphere for
Global Climate, Regional Mesoscale, and local Cloud - resolving numerical weather prediction models.
The Chair of
Land - Climate interactions investigates the role of land surface processes in the climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measureme
Land -
Climate interactions investigates the role of land surface processes in the climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measur
Climate interactions investigates the role of
land surface processes in the climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measureme
land surface processes in the
climate system using global (COSMOS) and regional (COSMO - CLM) climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measur
climate system using
global (COSMOS) and regional (COSMO - CLM)
climate models, land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measur
climate models,
land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measureme
land surface models (CLM, TerraLM), diagnostic estimates, ground and satellite observations, and field measurements.
Coverage includes original paleoclimatic, diagnostic, analytical and numerical modeling research on the structure and behavior of the atmosphere, oceans, cryosphere, biomass and
land surface as interacting components of the dynamics of
global climate.
The challenge will be settled using the NASA GISS mean
global land surface temperatures for the conventional
climate averaging period (defined by the World Meteorological Organization as 30 years) ending on December 31, 2016.
The
global record for these only goes back to 1850, in particular the result of subtracting HadSST2 (Hadley sea
surface temperature) from CRUTEM3 (
Climate Research Unit
land temperature).
The temperature that
climate scientists typically reference and care about with regard to
climate change is «the average
global temperature across
land and ocean
surface areas».
I'm inclined to think that Ocean Heat Content, trends in
land ice and Sea levels are more appropriate indicators of
global climate change than
surface air temperatures, but that's another issue.
«Feedback
land surface with atmosphere at global scales», In: Land use, climate and biogeochemical cycles: Feedbacks and options for emission reduction, H. Dolman (
land surface with atmosphere at
global scales», In:
Land use, climate and biogeochemical cycles: Feedbacks and options for emission reduction, H. Dolman (
Land use,
climate and biogeochemical cycles: Feedbacks and options for emission reduction, H. Dolman (Ed.)
It is instructive to compare these numbers with those characteristic of a set of the years during 1979 — 2012 with no or only one major regional extreme event (in terms of
land surface temperature and
land precipitation anomalies) in the NH midlatitudes, from late April / early May to late September / early October, as reported yearly since 1993 in the World Meteorological Organization statements on the status of the
global climate (see also ref.
Rohde, R. et al: «A new estimate of the average earth
surface land temperature spanning 1753 to 2011», Manuscript: text presented at the 3rd Santa Fe conference on
global and regional
climate temperature change, 2011
A component of the NASA Earth Exchange, OpenNEX provides users a large collection of
climate and Earth science satellite data sets, including
global land surface images, vegetation conditions,
climate observations and
climate projections.
However, it is clear that complete assessment of the role of the future terrestrial
surface in the
global climate system requires a sophisticated consideration of both natural and managed
lands, and so all GVMs aimed at future predictions need to incorporate parameterizations of anthropogenically altered landscapes.
«Causes of differences in model and satellite tropospheric warming rates» «Comparing tropospheric warming in
climate models and satellite data» «Robust comparison of
climate models with observations using blended
land air and ocean sea
surface temperatures» «Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends» «Reconciling warming trends» «Natural variability, radiative forcing and
climate response in the recent hiatus reconciled» «Reconciling controversies about the «
global warming hiatus»»
After earning his Ph.D. in Atmospheric Science from Colorado State University in 1991, Tom primarily engaged in creating NCDC's
global land surface data set used to quantify long - term
global climate change.
Fully coupled
global climate model experiments are performed using the Community Climate System Model version 4.0 (CCSM4) for preindustrial, present, and future climate to study the effects of realistic land surface initializations on subseasonal to seasonal climate for
climate model experiments are performed using the Community
Climate System Model version 4.0 (CCSM4) for preindustrial, present, and future climate to study the effects of realistic land surface initializations on subseasonal to seasonal climate for
Climate System Model version 4.0 (CCSM4) for preindustrial, present, and future
climate to study the effects of realistic land surface initializations on subseasonal to seasonal climate for
climate to study the effects of realistic
land surface initializations on subseasonal to seasonal
climate for
climate forecasts.
References: Smith, T. M., and R. W. Reynolds (2005), A
global merged
land air and sea
surface temperature reconstruction based on historical observations (1880 - 1997), J.
Climate, 18, 2021 - 2036.
Based on
land -
surface temperatures, Africa does not appear to be affected by the «unprecedented»
global warming due to the «unprecedented»
global CO2 levels, which represents a catastrophic prediction failure by the IPPC and its
climate models.
The NASA scientists ran
climate models using just one forcing at a time — changes in greenhouse gases, aerosol pollution,
land use changes, etc. — to see how efficient each is at changing the
global surface temperature.
And Chris Fogwill, senior research associate at the
Climate Change Research Centre at the University of New South Wales, Australia, who led the study, says: «The reason for the layering is that
global warming in parts of Antarctica is causing
land - based ice to melt, adding massive amounts of cool freshwater to the ocean
surface.
Constraining the response of the hydrological cycle,
land surface and regional weather to
global climate change.
It is not known to what extent these differences in
land -
surface response translate into differences in
global climate sensitivity (see Chapter 8, Section 8.5.4.3) although the uncertainty associated with the
land -
surface response must be smaller than the uncertainty associated with clouds (Lofgren, 1995).
Empirical data and
climate models also concur that
surface temperature change is amplified over
land areas, which tends to make temperature change at the site of deep water an underestimate of the
global temperature.
Vegetation cover changes caused by
land use can alter regional and
global climate through both biogeochemical (emissions of greenhouse gases and aerosols) and biogeophysical (albedo, evapotranspiration, and
surface roughness) feedbacks with the atmosphere, with reverse effects following
land abandonment, reforestation, and other vegetation recoveries (107).
There are three main
global land / ocean
surface temperature series, produced by NOAA's National
Climate Data Center (NCDC), NASA's Goddard Institute for Space Studies (GISTemp), and the UK's Hadley Center (HadCRUT).
Other potential causes of
climate change include the depletion of stratospheric ozone in recent decades, again through human activities, and
global changes in the
surface reflectivity — or albedo — of the planet, as we modify the patterns of vegetation that cover the
land.
Cartoon comparing (a) Fi, instantaneous forcing, (b) Fa, adjusted forcing, which allows stratospheric temperature to adjust, (c) Fg, fixed Tg forcing, which allows atmospheric temperature to adjust, (d) Fs, fixed SST forcing, which allows atmospheric temperature and
land temperature to adjust, and (e) DTs,
global surface air temperature calculated by the
climate model in response to the
climate forcing agent.»
These datasets include: NOAA
Climate Data Record (CDR) of Sea
Surface Temperature - WHOI, Version 1.0 U.S. Monthly Extremes
Global Historical Climatology Network — Monthly (GHCN - M) Version 3 African Easterly Wave Climatology Version 1 NOAA
Climate Data Record (CDR) of Daily Outgoing Longwave Radiation (OLR), Version 1.2 NOAA
Climate Data Record (CDR) of Monthly Outgoing Longwave Radiation (OLR), Version 2.2 - 1
Global Surface Summary of the Day — GSOD Monthly Summaries of the
Global Historical Climatology Network — Daily (GHCN - D) I nternational
Surface Temperature Initiative (ISTI)
Global Land Surface Temperature Databank — Stage 1 Monthly International
Surface Temperature Initiative (ISTI)
Global Land Surface Temperature Databank — Stage 2 Monthly International
Surface Temperature Initiative (ISTI)
Global Land Surface Temperature Databank — Stage 3 Monthly International
Surface Temperature Initiative (ISTI)
Global Land Surface Temperature Databank — Stage 1 Daily... Continued
The Chase research group focuses on modeling and observational studies of the effects of the
land surface and changing landcover (for example, deforestation, desertification, and irrigation) and their effects on regional and
global climate.
If we also take into account the
surface water on the
land areas as well, our figure for
global climate sensitivity to CO2 will be reduced yet further.