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3 edition of The analysis of global cloud and radiation data for the study of cloud-climate interactions found in the catalog.

The analysis of global cloud and radiation data for the study of cloud-climate interactions

The analysis of global cloud and radiation data for the study of cloud-climate interactions

annual report for NASA grant NAGW-3150 : January 1, 1993-December 31, 1993

  • 43 Want to read
  • 29 Currently reading

Published by National Aeronautics and Space Administration in [Washington, DC .
Written in English

    Subjects:
  • Cloud physics.,
  • Atmospheric radiation.

  • Edition Notes

    StatementP.I.: Harshvardhan.
    Series[NASA contractor report] -- NASA CR-193388., NASA contractor report -- NASA CR-193388.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL14703280M

    Arctic climate has been changing rapidly since the s. This work shows distinctly different patterns of change in winter, spring, and summer for cloud fraction and surface temperature. Satellite observations over – have shown that the Arctic has warmed up and become cloudier in spring and summer, but cooled down and become less cloudy in :// 2 days ago  The COVID pandemic has triggered an increase in infectious disease modeling studies, some of which incorporate environmental parameters. These studies are driven by questions about the potential seasonality of disease transmission, potential comorbidities associated with other environmentally-linked respiratory diseases, and a desire to improve predictions to inform future

      The MIT Joint Program on the Science and Policy of Global Change has developed an Integrated Global System Model, which is a framework for analysis of climate climate component includes representations of atmospheric and oceanic chemistry, and   Precipitation data came from Legates, which is a land-based data collection operation. Total cloud cover and cloud top pressure data came from ISCCP (the International Satellite Cloud Climatology Project). Data for comparison of absorbed solar radiation came from ERBE (the Earth Radiation Budget Experiment), which is another source of satellite

      The researchers show that low climate sensitivities previously thought to be plausible, around C, could only occur if there were multiple unexpected and unconnected errors in the data analysis (for example unexpected cloud behavior and patterns of long-term ocean warming), underlying their judgment that these low values are now extremely   Cloud droplet formation depends on the condensation of water vapor on ambient aerosols, the rate of which is strongly affected by the kinetics of water uptake as expressed by the condensation (or mass accommodation) coefficient, α tes of α c for droplet growth from activation of ambient particles vary considerably and represent a critical source of uncertainty in estimates of global


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The analysis of global cloud and radiation data for the study of cloud-climate interactions Download PDF EPUB FB2

The analysis of global cloud and radiation data for the study of cloud-climate interactions. By HARSHVARDHAN. Abstract. During the past year, ISCCP C1 data has been analyzed for two regions, the stratocumulus area off California and the tropical Atlantic.

The first part of the study dealing with stratocumulus clouds is complete and the results   Get this from a library. The analysis of global cloud and radiation data for the study of cloud-climate interactions: annual report for NASA grant NAGW January 1, Decem [Harshvardhan.; United States.

National Aeronautics and Space Administration.] If this 24‐year cycle were a global phenomenon, and depending upon how changes in cloud cover impact the radiation budget, one might anticipate a similar periodicity in surface temperature which is the case for central England [Hameed and Wyant, ; Baliunas et al., ].

But if such a 24‐year cycle in cloud cover is responsible for the   Satellite records show that the global pattern of cloud changes between the s and the s are similar to the patterns predicted by models of climate with recent external radiative forcing 2) where N is the concentration of cloud particles, and r eff is a mean effective radius for scattering of shortwave radiation.

Equation 1 is a reasonable approximation for thick boundary-layer clouds over mid-latitude oceans, where typical values are r eff ≈ 10 μm,h ≈ m, N ≈ 5 × 10 7 droplets m −3, and g ≈so that τ sw ≈ 6 and A cloud ≈ Spatial and temporal distribution of cloud vertical structure are key components of global climate change.

The occurrence of clouds over China and its surrounding areas has been calculated based on cloud layer products from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) at 1 km resolution. Results show significant regional differences in the frequency of cloud ://   Precipitation data from GHCN, radiation data from GEBA.

However, not only greenhouse-gas-induced thermal radiation changes, but also solar radiation, as a result of changes in the atmospheric transmission, can alter the surface radiation balance and thus the amount of energy available to drive the hydrological :// The topic of cloud radiative forcing associated with the atmospheric aerosol has been the focus of intense scrutiny for decades.

The enormity of the problem is reflected in the need to understand aspects such as aerosol composition, optical properties, cloud condensation, and ice nucleation potential, along with the global distribution of these properties, controlled by emissions, transport According to NASA and IPCC, Global temperature has increased by oF sinceCO2 levels has reached parts per billion, loss of world’s forest cover between the period and   updating the calculated solar radiation data and adjusting the data from solar time to local time.

A recently updated models for calculating solar radiation from cloud cover data (Perez et al.) was used to recalculate the solar radiation components and illuminance data. The updated WYEC data set became known as WYEC2, for   solar radiation for extended periods) the macro physical and microphysical processes controlling cloud formation and cloud-radiation interactions are complex.

The difficulty of simulating these processes was recently highlighted during the Arctic Regional Climate Smoke particles from biomass burning can generate forcing of climate by modifying cloud microphysics and reflectance of sunlight.

Cloud modification, critical to an understanding of climate change, is uncertain and variable. Satellite data over the Amazon Basin and Cerrado were analyzed for cloud reflectance and droplet size and for smoke concentration.

Smoke increased cloud reflectance from 0 Otto P. Hasekamp, Edward Gryspeerdt, Johannes Quaas, Analysis of polarimetric satellite measurements suggests stronger cooling due to aerosol-cloud interactions, Nature Communications, /s, 10, 1, ().

Satellite retrievals of surface, cloud, and radiation properties over the Arctic region were used to investigate recent Arctic climate trends. Although the Arctic as a whole appears to be most sensitive to global climate change, the sign and magnitude of changes within the Arctic vary.

On an annual time scale, the Arctic has been :// ///Arctic-Surface-Cloud-and-Radiation-Properties. Despite progress in many areas of the “cloud feedback problem,” progress has been slow, partly because of our vague concepts of feedback.

This paper begins with a critical discussion on the nature of the feedback problem as usually posed in terms of the global-mean “climate sensitivity” and proposes that the main source of confusion over analysis of feedbacks lies not with the //Cloud-Feedbacks-in-the-Climate-System-A-Critical.

The data from the NASA-funded TOPEX/Poseidon and Jason missions help us study and understand the complex interactions between the oceans and the atmosphere that affect global weather and climate events.

El Niño is one well-known example of this  › Home. Global-Scale Analysis. This section quantifies the role of lower troposphere stability in aerosol–cloud interactions using an ensemble of several hundred thousand trajectories across the global oceans (SI Appendix, Fig.

S10). Trajectories are not constrained by direction but rather, by L T :// Satellite observation has the advantages of obtaining global cloud cover and cloud information, but the observation data has low spatial and temporal resolution, and the observation ability of the cloud base is relatively weak (Illingworth et al., ; Luo et al., ; Li et al., ).

Thus, simple, practical and effective methods are needed Extremely large volcanic eruptions have been linked to global climate change, biotic turnover, and, for the Younger Toba Tuff erupt years ago, near-extinction of modern humans.

One of the largest uncertainties of the estimated climate effects in previous model As in LCH, the tropical UTA and DCC areas are defined by the VIRS radiances with K cloud types, a cloud-weighted SST is defined as in LCH, using the Reynolds SST analysis (Reynolds and Smith ) taken from the CERES SSF data cloud fraction ratio of UTA to DCC areas, that is, Area( K /3//The-Iris-Hypothesis-A-Negative-or-Positive-Cloud.

Broadband solar irradiance data obtained in the spectral range – nm at Kwangju, South Korea from – have been analyzed to investigate the effects of cloud cover and atmospheric   Anthropogenic aerosols have been postulated to have a cooling effect on climate, but its magnitude remains uncertain.

Using atmospheric general circulation model simulations, we separate the land temperature response into a fast response to radiative forcings and a slow response to changing oceanic conditions and find that the former accounts for about one fifth of the observed warming of the Abstract. Linear trend analysis of observational data combined with model diagnostics from an atmospheric general circulation model are employed to search for potential mechanisms related to the observed glacier retreat in the tropical Andes between and