Sentences with phrase «cloud observations and the models»

And this time, the team reports online today in Nature, the cloud observations and the models told the same story.

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.

Mission leaders were relieved and eager to begin their studies of cloud and haze effects, which «constitute the largest uncertainties in our models of future climate — that's no exaggeration,» says Jens Redemann, an atmospheric scientist at NASA's Ames Research Center in Mountain View, California, and the principal investigator for ObseRvations of Aerosols above CLouds and their IntEractionS (ORACLES).

Nesvorný and his colleagues followed particles released in their model from various types of comets or from asteroids and compared the particles» fates with observations of the zodiacal dust cloud.

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.

The UM Rosenstiel School researchers used historical observations of cloud cover as a proxy for wind velocity in climate models to analyze the Walker circulation, the atmospheric air flow and heat distribution in the tropic Pacific region that affects patterns of tropical rainfall.

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.

Your statement that «Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model hindcasts of past changes match observations very well)» seems to indicate that you think there will be no changes in ocean circulation or land use trends, nor any subsequent changes in cloud responses thereto or other atmospheric circulation.

FMI has been involved in research project, which evaluated the simulations of long - range transport of BB aerosol by the Goddard Earth Observing System (GEOS - 5) and four other global aerosol models over the complete South African - Atlantic region using Cloud - Aerosol Lidar with Orthogonal Polarization (CALIOP) observations to find any distinguishing or common model biases.

At this school, we will review physical models for cloud formation in Solar System planets, exoplanet observations, and laboratory studies.

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)

I will after present 1D and 3D self - consistent cloud models, which allow to explain several observations of brown dwarfs, directly imaged young exoplanets and warm transiting exoplanets.

Gordon, N.D., J.R. Norris, C.P. Weaver, and S.A. Klein, 2005: Cluster analysis of cloud regimes and characteristic dynamics of midlatitude synoptic systems in observations and a model.

In the future, further observations of UGC 4703 and detailed modeling of the system may help continue to puzzle out how our own Magellanic clouds came about.

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.

The workshop, building on the knowledge and practical skills acquired during the school, aims to bring together expertise on large - scale atmospheric and oceanic dynamics, small scale cloud and precipitation processes, hierarchical climate modeling and observation.

The effort uses innovative ARM radar observations from the MC3E field campaign to evaluate a series of high - resolution simulations, which results in an improved understanding of cloud transitions and how to diagnose these transitions in models.

Aerosol - cloud interactions in regional and global climate models: Uncertainties and discrepancies between models and observations

Current theories derived from computer models and astronomical observations indicate that a star and its planets form from a collapsing cloud of dust and gas within a larger cloud know as a nebula, according to the Space Telescope Science Institute in Baltimore.

The unique mathematical technique described in the study integrates field observations and cloud - resolving models to identify environmental variables important for tropical storm - cloud creation.

The paper argues that climate sensititvity to CO2 is much lower according to «observation» and that simplified «models» combining PDO and CO2 can «explain» most of 20th century warming through PDO - induced changes in cloud cover.

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.

The model variables that are evaluated against all sorts of observations and measurements range from solar radiation and precipitation rates, air and sea surface temperatures, cloud properties and distributions, winds, river runoff, ocean currents, ice cover, albedos, even the maximum soil depth reached by plant roots (seriously!).

Your statement that «Thus it is natural to look at the real world and see whether there is evidence that it behaves in the same way (and it appears to, since model hindcasts of past changes match observations very well)» seems to indicate that you think there will be no changes in ocean circulation or land use trends, nor any subsequent changes in cloud responses thereto or other atmospheric circulation.

eg pg xii To improve our predictive capability, we need: • to understand better the various climate - related processes, particularly those associated with clouds, oceans and the carbon cycle • to improve the systematic observation of climate - related variables on a global basis, and further investigate changes which took place in the past • to develop improved models of the Earth's climate system • to increase support for national and international climate research activities, especially in developing countries • to facilitate international exchange of climate data

See Stowasser & Hamilton, Relationship between Shortwave Cloud Radiative Forcing and Local Meteorological Variables Compared in Observations and Several Global Climate Models, Journal of Climate 2006; Lauer et al., The Impact of Global Warming on Marine Boundary Layer Clouds over the Eastern Pacific — A Regional Model Study, Journal of Climate 2010.

However, the simulation of clouds in climate models has shown modest improvement relative to models available at the time of the AR4, and this has been aided by new evaluation techniques and new observations for clouds.

Other studies indicate that models with strongly positive low - cloud feedback are more consistent with observations than models with weakly positive or negative feedback (Qu et al. 2014, 2015b, Myers and Norris 2016).

Researchers looking to compare climate model - simulated clouds and cloud observations from the ARM Climate Research Facility can access a helpful new tool.

As part of my past and ongoing research I have used a range of observations and models to examine how clouds interact with background aerosols, how clouds respond to warming, and what role clouds play in the global water cycle.

The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model development

I didn't make a guess, but Sato did not show a reduced albedo from more polluted clouds, and nobody has either in models or observations.

In - depth analysis reveals that the model's shallow cumulus convection scheme tends to significantly under - produce clouds during the times when shallow cumuli exist in the observations, while the deep convective and stratiform cloud schemes significantly over-produce low - level clouds throughout the day.

Sources such as the Tropospheric Emission Spectrometer (TES), Ozone Monitoring Instrument (OMI), and Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on the Aura satellite, the Cloud - Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), and the ground - based Aerosol Robotic Network (Aeronet) will be used, requiring the input of both the modeling and observational communities.

The modeled mean CWCs [cloud water] over tropical oceans range from ∼ 3 % to ∼ 15 × of the observations in the UT and 40 % to 2 × of the observations in the L / MT.

· Jiang, J. H., et al. (2012), Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA «A-Train» satellite observations, J. Geophys.

So we're beginning to understand the range better and the role of cloud processes, on the one hand, in the deep modelling systems, the role of observation uncertainties of some of the other methods for estimating it.

In addition to treating cloud transmission based only on the measurements at the local time of the TOMS observations, the results from other satellites and weather assimilation models can be used to estimate atmospheric UV irradiance transmission throughout the day.

There have been many studies aiming to test this hypothesis since AR4, 50 which fall in two categories: i) studies that seek to establish a causal relationship between cosmic rays and 51 aerosols / clouds by looking at correlations between the two quantities on timescales of days to decades, and 52 ii) studies that test through observations or modelling one of the physical mechanisms that have been put 53 forward.

There have been many studies aiming to test this hypothesis since AR4, which fall in two categories: i) studies that seek to establish a causal relationship between cosmic rays and aerosols / clouds by looking at correlations between the two quantities on timescales of days to decades, and studies that test through observations or modeling one of the physical mechanisms that have been put forward.

«Evaluation of water permittivity models from ground - based observations of cold clouds at frequencies between 23 and 170 GHz.»

This project will advance our understanding of seasonal ice zone (SIZ) cloud - ice feedbacks and our ability to forecast SIZ weather and ice conditions through the combination of carefully designed model experiments, observations, and technology developments which are targeted to validate and improve the models.

«Abstract: The Community Atmosphere Model Version 5 is run at horizontal grid spacing of 2, 1, 0.5, and 0.25 °, with the meteorology nudged toward the Year Of Tropical Convection analysis, and cloud simulators and the collocated A-Train satellite observations are used to explore the resolution dependence of aerosol - cloud interactions.

The MIT model permits one to systematically vary the model's climate sensitivity (by varying the strength of the cloud feedback) and rate of mixing of heat into the deep ocean and determine how the goodness - of - fit with observations depends on these factors.

Kay, J. E., and Coauthors: Exposing global cloud biases in the Community Atmosphere Model (CAM) using satellite observations and their corresponding instrument simulators.

The regions in which monthly means meet the mid-tropospheric dryness criterion frequently broadly correspond to regions with frequent low - cloud cover, both in observations (Fig. 1a) and in climate models.

Spencer & Braswell (2008) found: «we obtain positive cloud feedback biases in the range -0.3 to -0.8 Wm ^ -2 K ^ -1... our results suggest the possibility of an even larger discrepancy between models and observations than is currently realized» See Spencer's discussion on Foster's comments «As can be seen, most models exhibit large biases — as much as 50 deg.

Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA «A-Train» satellite observations.

They then ran computer models of the atmosphere to measure the effects of the black carbon, based on what scientists have learned about chemical reactions in clouds from experiments and observations.

Dessler made a fascinating observation of cloud feedbacks in some of the models he looked at in - A determination of the cloud feedback from climate variations over the past decade, A.E. Dessler, Science 330, 1523 (2010); DOI 10.1126 / science.1192546 He writes, The sign of the short - wave feedback shows more variation among models; it is positive in five of the models and negative in three.