Preprints
https://doi.org/10.5194/amt-2023-18
https://doi.org/10.5194/amt-2023-18
08 Feb 2023
 | 08 Feb 2023
Status: this preprint is currently under review for the journal AMT.

Introduction to EarthCARE synthetic data using a global storm-resolving simulation

Woosub Roh, Masaki Satoh, Tempei Hashino, Shuhei Matsugishi, Tomoe Nasuno, and Takuji Kubota

Abstract. Pre-launch simulated data to be obtained from new sensors on a satellite is useful to develop retrieval algorithms and aid the rapid release of retrieval products after launch. Here we introduce Japanese Aerospace Exploration Agencies (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 for four types of EarthCARE sensor: 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 nadir. We discuss plans for updating JAXA EarthCARE synthetic data using a large eddy simulation and implementation of a three-dimensional radiation model.

Woosub Roh et al.

Status: open (until 24 Mar 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-18', Anonymous Referee #1, 22 Feb 2023 reply
  • RC2: 'Comment on amt-2023-18', Anonymous Referee #2, 24 Mar 2023 reply

Woosub Roh et al.

Woosub Roh et al.

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Short summary
JAXA EarthCARE synthetic data (JAXA L1 data) were compiled using the global storm-resolving model (GSRM) NICAM simulation with 3.5 km horizontal resolution, and the Joint-Simulator. JAXA L1 data are intended to support the development of JAXA retrieval algorithms for the EarthCARE sensor before launch of the satellite. The expected orbit of EarthCARE and horizontal sampling of each sensor were used to simulate the signals.