Introduction to EarthCARE synthetic data using a global storm-resolving simulation
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Published:2023-06-30
Issue:12
Volume:16
Page:3331-3344
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Roh Woosub, Satoh MasakiORCID, Hashino Tempei, Matsugishi ShuheiORCID, Nasuno TomoeORCID, Kubota TakujiORCID
Abstract
Abstract. Pre-launch simulated satellite data are useful to develop retrieval algorithms and to facilitate the rapid release of retrieval products after launch. Here we introduce the Japanese Aerospace Exploration Agency's (JAXA) EarthCARE synthetic data based on simulations using a 3.5 km
horizontal-mesh global storm-resolving model. Global aerosol transport
simulation results are added for aerosol retrieval developers. Synthetic
data were produced corresponding to the four EarthCARE instrument sensors,
namely a 94 GHz cloud-profiling radar (CPR), a 355 nm atmospheric lidar
(ATLID), a seven-channel multispectral imager (MSI), and a broadband
radiometer (BBR). JAXA EarthCARE synthetic data include a standard product
with data for two orbits and a research product with shorter frames and more
detailed instrument settings. In the research products, random errors in the
CPR are considered based on the observation window, and noise in ATLID
signals are added using a noise simulator. We consider the spectral
misalignment effect of the visible and near-infrared MSI channels based on
response functions depending on the angle from the nadir. We introduce plans
for updating the JAXA EarthCARE synthetic data using large eddy simulation
model data and the implementation of a three-dimensional radiation model.
The JAXA EarthCARE synthetic data are available publicly.
Funder
Ministry of Land, Infrastructure, Transport and Tourism
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference48 articles.
1. Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J., Klein,
S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.:
COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043, 2011. 2. Hagihara, Y., Ohno, Y., Horie, H., Roh, W., Satoh, M., Kubota, T., and Oki,
R.: Assessments of Doppler velocity errors of EarthCARE cloud profiling
radar using global cloud system resolving simulations: Effects of Doppler
broadening and folding, IEEE T. Geosci. Remote, 60, 1–9, https://doi.org/10.1109/TGRS.2021.3060828, 2021. 3. Hagihara, Y., Ohno, Y., Horie, H., Roh, W., Satoh, M., and Kubota, T.: Global evaluation of Doppler velocity errors of EarthCARE Cloud Profiling Radar using global storm-resolving simulation, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1255, 2022. 4. Hashino, T., Satoh, M., Hagihara, Y., Kubota, T., Matsui, T., Nasuno, T.,
and Okamoto, H.: Evaluating cloud microphysics from NICAM against CloudSat
and CALIPSO, J. Geophys. Res.-Atmos., 118, 7273–7292,
https://doi.org/10.1002/jgrd.50564, 2013. 5. Hashino, T., Satoh, M., Hagihara, Y., Kato, S., Kubota, T., Matsui, T., and
Sekiguchi, M.: Evaluating Arctic cloud radiative effects simulated by NICAM
with A-train, J. Geophys. Res.-Atmos., 121, 7041–7063, 2016.
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