Incoming Radiation

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Olga Kocharovskaya - One of the best experts on this subject based on the ideXlab platform.

C S B Grimmond - One of the best experts on this subject based on the ideXlab platform.

  • longwave Incoming Radiation in the tropics results from field work in three african cities
    Theoretical and Applied Climatology, 2006
    Co-Authors: P Jonsson, Ingegard Eliasson, Bjorn Holmer, C S B Grimmond
    Abstract:

    Summary This study investigates differences in longwave Incoming Radiation (L #) within and between three African cities, Dar es Salaam (Tanzania), Ouagadougou (Burkina Faso), and Gaborone (Botswana), during the dry season, and evaluates the performance of a model to simulate these fluxes. In each city, direct observations of L #, shortwave Incoming Radiation (K#), air temperature, air humidity, and total suspended particle (TSP) concentration for three land uses (CBD, green residential, and traditional residential) were taken. The observed L # flux decreases with increasing latitude, and temperature becomes an increasingly important factor in governing L # variations further from the Equator. Humidity, as well as particle loading, differs significantly between the three cities. Differences between observed and modelled"sky for rural stations near all cities showed a clear diurnal variation, with maximum differences of 0.08 between day and night. This diurnal difference was incorporated in the model and, for urban areas the model overestimates L # by around 25 Wm � 2 . However, this model performs equally well regardless of the land use considered in any of the cities. The residual (difference between observed and modelled urban L #) did not show any correlation with particulate pollution. However, the difference between observed and calculated "sky is around 0.05 higher in Ouagadougou compared to the other cities, likely due to the heavy dust load observed here. It is concluded that tropical urban longwave Radiation is not dramatically different from the mid latitudes.

Matthews Grant - One of the best experts on this subject based on the ideXlab platform.

  • Moon and Earth Radiation Budget Experiment (MERBE) EBAF-like Solar Incoming Radiation (2000-03 to 2014-12)
    PANGAEA, 2021
    Co-Authors: Matthews Grant
    Abstract:

    The last two US National Academies on Science Decadal survey reports both stressed the vital need to improve the accuracy of orbital climate measurements. They contained comments such as “the single most critical issue for current climate change observations was their lack of accuracy and low confidence in observing the small climate change signals over long decade timescales”. Existing NASA and European measurements are unable to detect such trends that need to be found, because their instruments degrade on-orbit in ways that till now, could not be tracked and compensated for in their released Earth data (i.e. creating spurious trends). This data is from the Moon and Earth Radiation Budget Experiment (MERBE). It uses the constant reflectivity of the Moon as a calibration standard to monitor calibration changes for instruments built for the Clouds and The Earth's Radiant Energy System (CERES, on NASA Terra and Aqua platforms). The Earth reflected solar irradiance data here dating from 2000, are perhaps the most stable ERB satellite calibration dataset ever produced. It is free for all to download and compare with climate model simulations run since 2000 up to the present day, to give better confidence in their predictions of future climate change

  • Moon and Earth Radiation Budget Experiment (MERBE) EBAF-like Ed1.1 Solar Incoming Radiation (2000-03 to 2014-12)
    PANGAEA, 2021
    Co-Authors: Matthews Grant
    Abstract:

    The last two US National Academies on Science Decadal survey reports both stressed the vital need to improve the accuracy of orbital climate measurements. They contained comments such as “the single most critical issue for current climate change observations was their lack of accuracy and low confidence in observing the small climate change signals over long decade timescales”. Existing NASA and European measurements are unable to detect such trends that need to be found, because their instruments degrade on-orbit in ways that till now, could not be tracked and compensated for in their released Earth data (i.e. creating spurious trends). This data is from the Moon and Earth Radiation Budget Experiment (MERBE). It uses the constant reflectivity of the Moon as a calibration standard to monitor calibration changes for instruments built for the Clouds and The Earth's Radiant Energy System (CERES, on NASA Terra and Aqua platforms). The Earth reflected solar irradiance data here dating from 2000, are perhaps the most stable ERB satellite calibration dataset ever produced. It is free for all to download and compare with climate model simulations run since 2000 up to the present day, to give better confidence in their predictions of future climate change. This is a slight calibration update improvement on the previously posted file at https://doi.org/10.1594/PANGAEA.93177

R.n. Shakhmuratov - One of the best experts on this subject based on the ideXlab platform.

Sonia I Seneviratne - One of the best experts on this subject based on the ideXlab platform.

  • global contributions of Incoming Radiation and land surface conditions to maximum near surface air temperature variability and trend
    Geophysical Research Letters, 2018
    Co-Authors: Clemens Schwingshackl, Martin Hirschi, Sonia I Seneviratne
    Abstract:

    : The evolution of near-surface air temperature is influenced by various dynamical, radiative, and surface-atmosphere exchange processes whose contributions are still not completely quantified. Applying stepwise multiple linear regression to Coupled Model Intercomparison Project phase 5 (CMIP5) model simulations and focusing on Radiation (diagnosed by Incoming shortwave and Incoming longwave Radiation) and land surface conditions (diagnosed by soil moisture and albedo) about 79% of the interannual variability and 99% of the multidecadal trend of monthly mean daily maximum temperature over land can be explained. The linear model captures well the temperature variability in middle-to-high latitudes and in regions close to the equator, whereas its explanatory potential is limited in deserts. While Radiation is an essential explanatory variable over almost all of the analyzed domain, land surface conditions show a pronounced relation to temperature in some confined regions. These findings highlight that considering local-to-regional processes is crucial for correctly assessing interannual temperature variability and future temperature trends.