Sentences with phrase «satellite observation and model»

Methane plume over south Asia during the monsoon season: satellite observation and model simulation

Through a combination of direct satellite observations and modeling, they determined the total volume of ice tied up in the glaciers is nearly 41,000 cubic miles (170,000 cubic kilometers), plus or minus 5,000 cubic miles (21,000 cubic km).

Not exact matches

Computer modeling and satellite observations suggest that these tiny particles can increase storm - cloud cover over certain regions of the North Pacific by 20 to 50 percent, enough to alter storm tracks in some cases.

Combining observations from satellites and ground stations with climate models, they evaluated different factors that affect telescope vision, such as the amount of water vapour, wind speeds and atmospheric turbulence.

NOAA's Coral Reef Watch uses satellite observations of sea surface temperatures and modeling to monitor and forecast when water temperatures rise enough to cause bleaching.

A more detailed investigation of the satellite observations and climate models helped the researchers finally reconcile what was happening globally versus locally.

Using global climate models and NASA satellite observations of Earth's energy budget from the last 15 years, the study finds that a warming Earth is able to restore its temperature equilibrium through complex and seemingly paradoxical changes in the atmosphere and the way radiative heat is transported.

EWeLiNE combines these data with other atmospheric observations — from ground - based weather stations, radar and satellites — and sophisticated computer models predict power generation over the next 48 hours or so.

By combining satellite images of the ice sheet and wind stress data from observations and computer modeling, Greene and his collaborators were able to study the chain of events that brings the warm water to Totten.

To get around the problem, Fasullo and Trenberth decided to examine how well 16 global climate models reproduce recent satellite observations of relative humidity in the tropics and subtropics, a quantity that is directly related to cloud formation.

They tested the model against regional forest mortality observations from scientific forest plots, aerial surveys done by the U.S. Forest Service, and satellite measurements.

«Basically, we're taking satellite observations that say it's getting darker and taking a model that simulates temperature and snow morphology and using that to calculate how snowpack has evolved,» Doherty said.

The study authors based their analysis on a combination of satellite observations of rainfall and vegetation and an atmospheric circulation model to track the movement of air masses.

The study is a «painstaking analysis» of the fragmented satellite record and shows some consistency between models and observations of clouds, says meteorologist Bjorn Stevens of the Max Planck Institute for Meteorology in Hamburg, Germany.

Using models and satellites The study authors» «cutting - edge methodology will allow observations to be used consistently to examine large - scale deforestation impacts on rainfall, and to refine and evaluate current models to support conservation planning in the tropics,» Aragao wrote.

To check their model forecast, as the dry season has gotten underway, the researchers have compared their initial forecast with observations coming in from NASA's precipitation satellite missions» multisatellite datasets, as well as groundwater data from the joint NASA / German Aerospace Center Gravity Recovery and Climate Experiment (GRACE) mission.

Combining satellite observations with ocean numerical modeling, Khazendar and his colleagues developed a hypothesis that reductions in the volume of brine would increase Totten's thinning and melting.

Using NASA satellite observations in tandem with supercomputer processing power for modeling systems, scientists have a comprehensive suite of tools to analyze El Niño events and their global impacts as never before.

The model is supported by observations from satellites, ground - based networks that measure ozone - depleting chemicals in the real world, and by observations from two decades of NASA aircraft field campaigns, including the most recent Airborne Tropical Tropopause Experiment (ATTREX) in 2013 and the Atmospheric Tomography (ATom) global atmospheric survey, which has made three deployments since 2016.

«This study confirmed that ocean circulation physics and K. brevis biology are equally important and that both immediate and short term prediction may be achieved using a combination of circulation models supported by in situ observations of physical, biological and chemical variables and satellite imagery,» concluded the researchers.

Figure 1: Annual average TOA shortwave cloud forcing for present - day conditions from 16 IPCC AR4 models and iRAM (bottom center) compared with CERES satellite observations (bottom right)

Schimel's research team is assimilating new observational tools using satellites, networked surface observation stations, and aircraft sampling with the National Center for Atmospheric Research's Community Land Model.

This involves a combination of satellite observations (when different satellites captured temperatures in both morning and evening), the use of climate models to estimate how temperatures change in the atmosphere over the course of the day, and using reanalysis data that incorporates readings from surface observations, weather balloons and other instruments.

Xie, P., and P.A. Arkin, 1997: Global precipitation: A 17 - year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs.

Huang, X., B.J. Soden, and D.L. Jackson, 2005: Interannual co-variability of tropical temperature and humidity: A comparison of model, reanalysis data and satellite observation.

Michel and colleagues took advantage of the wealth of geophysical data that have been collected in this region, using a catalog of earthquakes that have occurred in the area and models of the fault slip rate inferred from surface deformation given by Global Positioning System (GPS) and satellite observations of ground changes.

Lin, W.Y., and M.H. Zhang, 2004: Evaluation of clouds and their radiative effects simulated by the NCAR Community Atmospheric Model against satellite observations.

To improve parameterization, the researchers propose developing Earth system models that learn from the rich data sets now available (thanks, in large part, to satellite observations) and high - resolution simulations on local scales.

However, satellite observations are notably cooler in the lower troposphere than predicted by climate models, and the research team in their paper acknowledge this, remarking: «One area of concern is that on average... simulations underestimate the observed lower stratospheric cooling and overestimate tropospheric warming... These differences must be due to some combination of errors in model forcings, model response errors, residual observational inhomogeneities, and an unusual manifestation of natural internal variability in the observations.»

Scientists worldwide use the agency's field data, together with satellite observations and computer models, to tackle environmental challenges and advance our knowledge of how the Earth works as a complex, integrated system.

The magnitude it actually had actually risen, how different these temperatures were from the 1940s, the conflict between model prediction / theory and observation, etc, were the issues the satellite data raised.

Data from satellite observations «suggest that greenhouse models ignore negative feedback produced by clouds and by water vapor, that diminish the warming effects» of human carbon dioxide emissions.

Global climate model projections (in CMIP3 at least) appear to underestimate sea ice extent losses with respect to observations, though this is not universally true for all models and some of them actually have ensemble spreads that are compatible with PIOMAS ice volume estimates and satellite observations of sea ice extent.

Secondly, the offsets between UAH, RSS and UMD should define the minimum systematic uncertainty in the satellite observations, which therefore would overlap with the model «uncertainty».

The models in the case of AGW, are a little more scientific than either approach /;, the variables can not all be counted for, but they do provide insights to the totality of the research, and the models, (and data fed into the models) satellite data and observations from researchers in the geographical areas affected by GW, agree more than do not, as long as the averages are taken into account.

There is one major caveat with these products though, and that is that while the model isn't changing over time, the input data is and there are large variations in the amount and quality of observations — particularly around 1979 when a lot of satellite observations came on line, but also later as the mix and quality of data has changed.

Scientists can combine these observations with empirical models of Earth's space environment and thus forecast space weather for the government, power companies, airlines, and satellite communication and navigation providers and users from around the world.

According to that chart of actual satellite and surface temperature observations vs. what was predicted by 90 different climate models, 95 percent of models overestimated... C3: Climate Model — Charts / Graphs C3 Headlines» climate - model - chartsgModel — Charts / Graphs C3 Headlines» climate - model - chartsgmodel - chartsgraphs

They do cite a study by Lindzen and Choi, which has shown, based on ERBE satellite observations, that the net impact of a doubling of CO2 including all feedbacks is likely to be significantly lower than the model - based estimates by Myhre for sensitivity without feedbacks.

In agreement with climate models, satellite data and hydrographic observations show that sea level is not rising uniformly around the world.

Note that he used the past in his sentence «satellite data showed no warming» and then he goes on «The report showed that selective corrections to the atmospheric data could lead to some warming, thus reducing the conflict between observations and models descriptions of what greenhouse warming should look like.»

Zhang and Lindsay, 4.3 ± 0.8, Model The forecasting system is based on a synthesis of a model, the NCEP / NCAR reanalysis data, and satellite observations of ice concentration and sea surface temperaModel The forecasting system is based on a synthesis of a model, the NCEP / NCAR reanalysis data, and satellite observations of ice concentration and sea surface temperamodel, the NCEP / NCAR reanalysis data, and satellite observations of ice concentration and sea surface temperature.

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 measurements.

Causes of pre-collapse changes of the Larsen B ice shelf: Numerical modelling and assimilation of satellite observations.

The Arctic System Reanalysis (ASR), a high - resolution regional assimilation of model output, observations, and satellite data across the mid - and high latitudes of the Northern Hemisphere for the period 2000 — 2012 has been performed at 30 km (ASRv1) and 15 km (ASRv2) horizontal resolution using the polar version of the Weather Research and Forecasting (WRF) model and the WRF Data Assimilation (WRFDA) System.

Scientists from the University of Erlangen - Nuremberg Institute of Geography and from the Laboratoire de Glaciologie et Gophysique de l'Environnement in Grenoble, France, used radar data from satellites such as ESA's Envisat and observations of ice thickness from airborne surveys in a complex model to demonstrate, for the first time, how the buttressing role of the ice shelves is being compromised as the shelves decline.

«The satellite observations suggest there is much more energy lost to space during and after warming than the climate models show,» Spencer said in a July 26 University of Alabama press release.

Lee, Y.H., P.J. Adams, and D.T. Shindell, 2015: Evaluation of the global aerosol microphysical ModelE2 - TOMAS model against satellite and ground - based observations.

To investigate the relationship between SL and BP on climate scales, we considered interannual time series from satellite observations and a general circulation model ranging over 2005 - 2010 and smoothed over scales of 750 km.

It's been fascinating over my career to look at ever - better satellite observations and ever - better model simulations and see that fingerprint pattern of human effects literally emerging from the noise.