McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing
<p>The aim of this paper is to present the Monte Carlo code McRALI that provides simulations under multiple-scattering regimes of polarized high-spectral-resolution (HSR) lidar and Doppler radar observations for a three-dimensional (3D) cloudy atmosphere. The effects of nonuniform beam filling...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-01-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/14/199/2021/amt-14-199-2021.pdf |
| _version_ | 1818579046857965568 |
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| author | F. Szczap A. Alkasem G. Mioche G. Mioche V. Shcherbakov V. Shcherbakov C. Cornet J. Delanoë Y. Gour Y. Gour O. Jourdan S. Banson E. Bray |
| author_facet | F. Szczap A. Alkasem G. Mioche G. Mioche V. Shcherbakov V. Shcherbakov C. Cornet J. Delanoë Y. Gour Y. Gour O. Jourdan S. Banson E. Bray |
| author_sort | F. Szczap |
| collection | DOAJ |
| description | <p>The aim of this paper is to present the Monte Carlo code McRALI that
provides simulations under multiple-scattering regimes of polarized high-spectral-resolution (HSR) lidar and Doppler radar observations for
a three-dimensional (3D) cloudy atmosphere. The effects of nonuniform beam
filling (NUBF) on HSR lidar and Doppler radar signals related to the
EarthCARE mission are investigated with the help of an academic 3D
box cloud characterized by a single isolated jump in cloud optical depth,
assuming vertically constant wind velocity. Regarding Doppler radar signals,
it is confirmed that NUBF induces a severe bias in velocity estimates. The
correlation of the NUBF bias of Doppler velocity with the horizontal
gradient of reflectivity shows a correlation coefficient value around 0.15 m s<span class="inline-formula"><sup>−1</sup></span> (dBZ km<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><msup><mi/><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup><msup><mo>)</mo><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="26pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="4db93c7e2079d9985d36196401da9702"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-14-199-2021-ie00001.svg" width="26pt" height="15pt" src="amt-14-199-2021-ie00001.png"/></svg:svg></span></span>, close to that given in the scientific
literature. Regarding HSR lidar signals, we confirm that multiple-scattering
processes are not negligible. We show that NUBF effects on molecular,
particulate, and total attenuated backscatter are mainly due to unresolved
variability of cloud inside the receiver field of view and, to a lesser
extent, to the horizontal photon transport. This finding gives some insight
into the reliability of lidar signal modeling using independent column
approximation (ICA).</p> |
| first_indexed | 2024-12-16T06:55:29Z |
| format | Article |
| id | doaj.art-ef70a98ca4aa477caf9ca5c15068c218 |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-12-16T06:55:29Z |
| publishDate | 2021-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-ef70a98ca4aa477caf9ca5c15068c2182022-12-21T22:40:17ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482021-01-011419922110.5194/amt-14-199-2021McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensingF. Szczap0A. Alkasem1G. Mioche2G. Mioche3V. Shcherbakov4V. Shcherbakov5C. Cornet6J. Delanoë7Y. Gour8Y. Gour9O. Jourdan10S. Banson11E. Bray12Université Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, FranceUniversité Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, FranceUniversité Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, FranceUniversité Clermont Auvergne, Institut Universitaire de Technologie d'Allier, 03100 Montluçon, FranceUniversité Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, FranceUniversité Clermont Auvergne, Institut Universitaire de Technologie d'Allier, 03100 Montluçon, FranceUniversité Lille, CNRS, UMR 8518, Laboratoire d'Optique Atmosphérique (LOA), 59000 Lille, FranceUniversité de Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, Sorbonne Université, CNRS, Laboratoire Atmosphère, Milieu, Observations Spatiales (LATMOS), Institut Pierre Simon Laplace (IPSL), Guyancourt, FranceUniversité Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, FranceUniversité Clermont Auvergne, Institut Universitaire de Technologie d'Allier, 03200 Vichy, FranceUniversité Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, FranceUniversité Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, FranceUniversité Clermont Auvergne, CNRS, UMR 6016, Laboratoire de Météorologie Physique (LaMP), 63178 Aubière, France<p>The aim of this paper is to present the Monte Carlo code McRALI that provides simulations under multiple-scattering regimes of polarized high-spectral-resolution (HSR) lidar and Doppler radar observations for a three-dimensional (3D) cloudy atmosphere. The effects of nonuniform beam filling (NUBF) on HSR lidar and Doppler radar signals related to the EarthCARE mission are investigated with the help of an academic 3D box cloud characterized by a single isolated jump in cloud optical depth, assuming vertically constant wind velocity. Regarding Doppler radar signals, it is confirmed that NUBF induces a severe bias in velocity estimates. The correlation of the NUBF bias of Doppler velocity with the horizontal gradient of reflectivity shows a correlation coefficient value around 0.15 m s<span class="inline-formula"><sup>−1</sup></span> (dBZ km<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><msup><mi/><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup><msup><mo>)</mo><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="26pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="4db93c7e2079d9985d36196401da9702"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-14-199-2021-ie00001.svg" width="26pt" height="15pt" src="amt-14-199-2021-ie00001.png"/></svg:svg></span></span>, close to that given in the scientific literature. Regarding HSR lidar signals, we confirm that multiple-scattering processes are not negligible. We show that NUBF effects on molecular, particulate, and total attenuated backscatter are mainly due to unresolved variability of cloud inside the receiver field of view and, to a lesser extent, to the horizontal photon transport. This finding gives some insight into the reliability of lidar signal modeling using independent column approximation (ICA).</p>https://amt.copernicus.org/articles/14/199/2021/amt-14-199-2021.pdf |
| spellingShingle | F. Szczap A. Alkasem G. Mioche G. Mioche V. Shcherbakov V. Shcherbakov C. Cornet J. Delanoë Y. Gour Y. Gour O. Jourdan S. Banson E. Bray McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing Atmospheric Measurement Techniques |
| title | McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing |
| title_full | McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing |
| title_fullStr | McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing |
| title_full_unstemmed | McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing |
| title_short | McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing |
| title_sort | mcrali a monte carlo high spectral resolution lidar and doppler radar simulator for three dimensional cloudy atmosphere remote sensing |
| url | https://amt.copernicus.org/articles/14/199/2021/amt-14-199-2021.pdf |
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