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Aires, F., Prigent, C., Buehler, S. A., Eriksson, P., Milz, M. & Crewell, S. (2019). Towards more realistic hypotheses for the information content analysis of cloudy/precipitating situations: Application to an hyper‐spectral instrument in the microwaves. Quarterly Journal of the Royal Meteorological Society, 145(718), 1-14
Open this publication in new window or tab >>Towards more realistic hypotheses for the information content analysis of cloudy/precipitating situations: Application to an hyper‐spectral instrument in the microwaves
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2019 (English)In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870X, Vol. 145, no 718, p. 1-14Article in journal (Refereed) Published
Abstract [en]

Information Content (IC) analysis can be used before an instrument is built to estimate its retrieval uncertainties and analyse their sensitivity to several factors. It is a very useful method to define/optimise satellite instruments. IC has shown its potential to compare instrument concepts in the infrared or the microwaves. IC is based on some hypotheses such as the the gaussian character of the Radiative Transfer (RT) and instrument errors, the first guess errors (Gaussian character, std and correlation structure), or the linearisation of the RT around a first guess. These hypotheses are easier to define for simple atmospheric situations. However, even in the clear‐sky case, their complexity has never ceased to increase towards more realism, to optimise the assimilation of satellite measurements in the Numerical Weather Prediction (NWP) systems. In the cloudy/precipitating case, these hypotheses are even more difficult to define in a realistic way as many factors are still very difficult to quantify. In this study, several tools are introduced to specify more realistic IC hypotheses than the current practice. We focus on the microwave observations as this is more pertinent for clouds and precipitation. Although not perfect, the proposed solutions are a new step towards more realistic IC assumptions of cloudy/precipitating scenes. A state‐dependence of the RT errors is introduced, the first guess errors have a more complex vertical structure, the IC is performed simultaneously on all the hydrometeors to take into account the contamination effect of the RT input uncertainties, and the IC is performed on a diversified set of cloudy/precipitating scenes with well‐defined hydrometeor assumptions. The method presented in this study is illustrated using the HYperspectral Microwave Sensor (HYMS) instrument concept with channels between 6.9 and 874 GHz (millimeter and sub‐millimeter regions). HYMS is considered as a potential next generation microwave sounder.

Place, publisher, year, edition, pages
Royal Meteorological Society, 2019
National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-70423 (URN)10.1002/qj.3315 (DOI)000459863300001 ()2-s2.0-85050499753 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-04-12 (johcin)

Available from: 2018-08-15 Created: 2018-08-15 Last updated: 2019-04-12Bibliographically approved
Wolf, V., Kuhn, T., Milz, M., Völger, P., Krämer, M. & Rolf, C. (2018). Arctic ice clouds over northern Sweden: microphysical properties studied with the Balloon-borne Ice Cloud particle Imager B-ICI. Atmospheric Chemistry And Physics, 18(23), 17371-17386
Open this publication in new window or tab >>Arctic ice clouds over northern Sweden: microphysical properties studied with the Balloon-borne Ice Cloud particle Imager B-ICI
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2018 (English)In: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 18, no 23, p. 17371-17386Article in journal (Refereed) Published
Abstract [en]

Ice particle and cloud properties such as particle size, particle shape and number concentration influence the net radiation effect of cirrus clouds. Measurements of these features are of great interest for the improvement of weather and climate models, especially for the Arctic region. In this study, balloon-borne in situ measurements of Arctic cirrus clouds have been analysed for the first time with respect to their origin. Eight cirrus cloud measurements have been carried out in Kiruna (68 N), Sweden, using the Balloon-borne Ice Cloud particle Imager (B-ICI). Ice particle diameters between 10 and 1200 µm have been found and the shape could be recognized from 20 µm upwards. Great variability in particle size and shape is observed. This cannot simply be explained by local environmental conditions. However, if sorted by cirrus origin, wind and weather conditions, the observed differences can be assessed. Number concentrations between 3 and 400 L−1 have been measured, but the number concentration has reached values above 100 L−1 only for two cases. These two cirrus clouds are of in situ origin and have been associated with waves. For all other measurements, the maximum ice particle concentration is below 50 L−1 and for one in situ origin cirrus case only 3 L−1. In the case of in situ origin clouds, the particles are all smaller than 350 µm diameter. The PSDs for liquid origin clouds are much broader with particle sizes between 10 and 1200 µm. Furthermore, it is striking that in the case of in situ origin clouds almost all particles are compact (61 %) or irregular (25 %) when examining the particle shape. In liquid origin clouds, on the other hand, most particles are irregular (48 %), rosettes (25 %) or columnar (14 %). There are hardly any plates in cirrus regardless of their origin. It is also noticeable that in the case of liquid origin clouds the rosettes and columnar particles are almost all hollow.

Place, publisher, year, edition, pages
Copernicus Publications, 2018
National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-72316 (URN)10.5194/acp-18-17371-2018 (DOI)000452384100002 ()2-s2.0-85058149311 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-01-08 (johcin)

Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2019-04-19Bibliographically approved
Schreier, F., Milz, M., Buehler, S. A. & Clarmann, T. v. (2018). Intercomparison of three microwave/infrared high resolution line-by-line radiative transfer codes (ed.). Journal of Quantitative Spectroscopy and Radiative Transfer, 211, 64-77
Open this publication in new window or tab >>Intercomparison of three microwave/infrared high resolution line-by-line radiative transfer codes
2018 (English)In: Journal of Quantitative Spectroscopy and Radiative Transfer, ISSN 0022-4073, E-ISSN 1879-1352, Vol. 211, p. 64-77Article in journal (Refereed) Published
Abstract [en]

An intercomparison of three line-by-line (lbl) codes developed independently for atmospheric radiative transfer and remote sensing – ARTS, GARLIC, and KOPRA – has been performed for a thermal infrared nadir sounding application assuming a HIRS-like (High resolution Infrared Radiation Sounder) setup. Radiances for the 19 HIRS infrared channels and a set of 42 atmospheric profiles from the “Garand dataset” have been computed.

The mutual differences of the equivalent brightness temperatures are presented and possible causes of disagreement are discussed. In particular, the impact of path integration schemes and atmospheric layer discretization is assessed. When the continuum absorption contribution is ignored because of the different implementations, residuals are generally in the sub-Kelvin range and smaller than 0.1 K for some window channels (and all atmospheric models and lbl codes). None of the three codes turned out to be perfect for all channels and atmospheres. Remaining discrepancies are attributed to different lbl optimization techniques. Lbl codes seem to have reached a maturity in the implementation of radiative transfer that the choice of the underlying physical models (line shape models, continua etc) becomes increasingly relevant.

Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-67821 (URN)10.1016/j.jqsrt.2018.02.032 (DOI)000432100500007 ()
Note

Validerad;2018;Nivå 2;2018-03-23 (rokbeg)

Available from: 2018-03-02 Created: 2018-03-02 Last updated: 2018-06-08Bibliographically approved
Birman, C., Mahfouf, J.-F., Milz, M., Mendrok, J., Buehler, S. A. & Brath, M. (2017). Information content on hydrometeors from millimeter and sub-millimeter wavelengths. Tellus. Series A, Dynamic meteorology and oceanography, 69(1), Article ID 1271562.
Open this publication in new window or tab >>Information content on hydrometeors from millimeter and sub-millimeter wavelengths
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2017 (English)In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 69, no 1, article id 1271562Article in journal (Refereed) Published
Abstract [en]

This study examines the information content on hydrometeors that could be provided by a future HYperspectralMicrowave Sensor (HYMS) with frequencies ranging from 6.9 to 874 GHz (millimeter and sub-millimeter regions). Through optimal estimation theory the information content is expressed quantitatively in terms of degrees of freedom for signal (DFS). For that purpose the Atmospheric Radiative Transfer Simulator (ARTS) and its Jacobians are used with a set of 25 cloudy and precipitating profiles and their associated errors from the European Centre for Medium-range Weather Forecasting (ECMWF) global numerical weather prediction model.

In agreement with previous studies it is shown that frequencies between 10 and 40 GHz are the most informative ones for liquid and rain water contents. Similarly, the absorption band at 118 GHz contains significant information on liquid precipitation. A set of new window channels (15.37-, 40.25-, 101-GHz) could provide additional information on the liquid phase. The most informative channels on cloud icewater are the window channels at 664 and 874GHz and thewater vapour absorption bands at 325 and 448 GHz. Regarding snow water contents, the channels having the largest DFS values are located inwindow regions (150-, 251-, 157-, 101-GHz). However it is necessary to consider 90 channels in order to represent 90% of the DFS. The added value of HYMS has been assessed against current Special Sensor Microwave Imager/Sounder (SSMI/S) onboard the Defense Meteorological Satellite Program (DMSP) and future (Microwave Imager/Ice Cloud Imager (MWI/ICI) onboard European Polar orbiting Satellite – Second Generation (EPS-SG)) microwave sensors. It appears that with a set of 276 channels the information content on hydrometeors would be significantly enhanced: the DFS increases by 1.7 against MWI/ICI and by 3 against SSMI/S. A number of tests have been performed to examine the robustness of the above results. The most informative channels on solid hydrometeors remain the same over land and over ocean surfaces. On the other hand, the database is not large enough to produce robust results over land surfaces for liquid hydrometeors. The sensitivity of the results to the microphysical properties of frozen hydrometeors has been investigated. It appears that a change in size distribution and scattering properties can move the large information content of the channels at 664 and 874 GHz from cloud ice to solid precipitation.

Place, publisher, year, edition, pages
Taylor & Francis, 2017
Keywords
Information Content, clouds, precipitaion, microwave radiation
National Category
Meteorology and Atmospheric Sciences Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-61623 (URN)10.1080/16000870.2016.1271562 (DOI)000395918400001 ()2-s2.0-85015235782 (Scopus ID)
Note

Validerad; 2017; Nivå 2; 2017-01-31 (andbra)

Available from: 2017-01-25 Created: 2017-01-25 Last updated: 2018-11-20Bibliographically approved
Larsson, R., Milz, M., Eriksson, P., Mendrok, J., Kasai, Y., Buehler, S. A., . . . Hartogh, P. (2017). Martian magnetism with orbiting sub-millimeter sensor: simulated retrieval system. Geoscientific Instrumentation, Methods and Data Systems, 6(1), 27-37
Open this publication in new window or tab >>Martian magnetism with orbiting sub-millimeter sensor: simulated retrieval system
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2017 (English)In: Geoscientific Instrumentation, Methods and Data Systems, ISSN 2193-0856, E-ISSN 2193-0864, Vol. 6, no 1, p. 27-37Article in journal (Refereed) Published
Abstract [en]

A Mars-orbiting sub-millimeter sensor can be used to retrieve the magnetic field at low altitudes over large areas of significant planetary crustal magnetism of the sur- face of Mars from measurements of circularly polarized radi- ation emitted by the 368 GHz ground-state molecular oxygen absorption line. We design a full retrieval system for one ex- ample orbit to show the expected accuracies on the magnetic field components that one realization of such a Mars satellite mission could achieve. For one set of measurements around a tangent profile, we find that the two horizontal components of the magnetic field can be measured at about 200 nT error with a vertical resolution of around 4 km from 6 up to 70 km in tangent altitude. The error is similar regardless of the true strength of the magnetic field, and it can be reduced by re- peated measurements over the same area. The method and some of its potential pitfalls are described and discussed. 

Place, publisher, year, edition, pages
Copernicus Publications, 2017
Keywords
Mars, magnetism, sub-millimeter, remote sensing
National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-61625 (URN)10.5194/gi-6-27-2017 (DOI)000395383700001 ()2-s2.0-85011044675 (Scopus ID)
Note

Validerad; 2017; Nivå 2; 2017-02-13 (andbra)

Available from: 2017-01-28 Created: 2017-01-25 Last updated: 2018-11-20Bibliographically approved
Barabash, V., Ejemalm, J., Kuhn, T., Milz, M., Molin, S., Johansson, J. & Westerberg, L.-G. (2017). Masters Programs in Space Science and Engineering in Northern Sweden. In: : . Paper presented at 68th International Astronautical Congress, Adelaide, Australia, 25 – 29 September 2017 (pp. 11179-11191).
Open this publication in new window or tab >>Masters Programs in Space Science and Engineering in Northern Sweden
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2017 (English)Conference paper, Published paper (Refereed)
Keywords
rymd, space, Master, education, engineering
National Category
Aerospace Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering Fluid Mechanics and Acoustics
Research subject
Atmospheric science; Industrial Electronics; Fluid Mechanics
Identifiers
urn:nbn:se:ltu:diva-65521 (URN)2-s2.0-85051439897 (Scopus ID)9781510855373 (ISBN)
Conference
68th International Astronautical Congress, Adelaide, Australia, 25 – 29 September 2017
Projects
342
Available from: 2017-09-07 Created: 2017-09-07 Last updated: 2018-08-23Bibliographically approved
Larsson, R., Milz, M., Rayer, P., Saunders, R., Bell, W., Booton, A., . . . John, V. E. (2016). Modeling the Zeeman effect in high altitude SSMIS channels for numerical weather prediction profiles: Comparing a fast model and a line-by-line model (ed.). Paper presented at . Atmospheric Measurement Techniques, 9(2), 841-857
Open this publication in new window or tab >>Modeling the Zeeman effect in high altitude SSMIS channels for numerical weather prediction profiles: Comparing a fast model and a line-by-line model
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2016 (English)In: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 9, no 2, p. 841-857Article in journal (Refereed) Published
Abstract [en]

We present a comparison of a reference and a fast radiative transfer model using numerical weather prediction profiles for the Zeeman-affected high altitude Special Sensor Microwave Imager/Sounder channels 19–22. We find that the models agree well for channels 21 and 22 compared to the channels' system noise temperatures (1.9 and 1.3 K, respectively) and the expected profile errors at the affected altitudes (estimated to be around 5 K). For channel 22 there is a 0.5 K average difference between the models, with a standard deviation of 0.24 K for the full set of atmospheric profiles. Same channel, there is 1.2 K in average between the fast model and the sensor measurement, with 1.4 K standard deviation. For channel 21 there is a 0.9 K average difference between the models, with a standard deviation of 0.56 K. Same channel, there is 1.3 K in average between the fast model and the sensor measurement, with 2.4 K standard deviation. We consider the relatively small model differences as a validation of the fast Zeeman effect scheme for these channels. Both channels 19 and 20 have smaller average differences between the models (at below 0.2 K) and smaller standard deviations (at below 0.4 K) when both models use a two-dimensional magnetic field profile. However, when the reference model is switched to using a full three-dimensional magnetic field profile, the standard deviation to the fast model is increased to almost 2 K due to viewing geometry dependencies causing up to ± 7 K differences near the equator. The average differences between the two models remain small despite changing magnetic field configurations. We are unable to compare channels 19 and 20 to sensor measurements due to limited altitude range of the numerical weather prediction profiles. We recommended that numerical weather prediction software using the fast model takes the available fast Zeeman scheme into account for data assimilation of the affected sensor channels to better constrain the upper atmospheric temperatures.

National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-15391 (URN)10.5194/amt-9-841-2016 (DOI)000375612000033 ()2-s2.0-84960126414 (Scopus ID)ee5ccf57-c730-4d6e-9d06-63f5d02bba8f (Local ID)ee5ccf57-c730-4d6e-9d06-63f5d02bba8f (Archive number)ee5ccf57-c730-4d6e-9d06-63f5d02bba8f (OAI)
Note
Validerad; 2016; Nivå 2; 20160321 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Mahfouf, J.-F., Birman, C., Aires, F., Prigent, C., Orlandi, E. & Milz, M. (2015). Information content on temperature and water vapour from a hyper-spectral microwave sensor (ed.). Paper presented at . Quarterly Journal of the Royal Meteorological Society, 141(693), 3268-3284
Open this publication in new window or tab >>Information content on temperature and water vapour from a hyper-spectral microwave sensor
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2015 (English)In: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870X, Vol. 141, no 693, p. 3268-3284Article in journal (Refereed) Published
Abstract [en]

This study examines the information content on atmospheric temperature and humidity profiles that could be provided by a future spaceborne microwave sensor with a few hundred radiances in the millimetre and submillimetre spectral domains (ranging from 7–800 GHz). A channel selection method based on optimal estimation theory is undertaken, using a database of profiles with associated errors from the European Centre for Medium-Range Weather Forecasts (ECMWF) numerical weather prediction model and the radiative transfer model Atmospheric Radiative Transfer Simulator (ARTS) under clear-sky conditions. The main results indicate that, by increasing the number of channels within the oxygen absorption band around 60 GHz and within the water-vapour absorption band at 183 GHz, the accuracy of temperature and humidity retrievals in the troposphere and stratosphere (for temperature) would be noticeably improved compared with present and planned microwave radiometers. The channels located in the absorption lines at 118 GHz and above 200 GHz do not bring significant additional information regarding atmospheric profiles under clear-sky conditions, partly due to greater radiometric noise. With a set of 137 selected channels that contribute to 90% of the total information content (measured by the degree of freedom for signal), it is possible to achieve almost the same performance in terms of variance error reduction as with 276 candidate channels. Sensitivity studies of various prescribed quantities defining the channel selection have been undertaken, in order to check the robustness of the conclusions. They show that none of the choices modifies the above findings.

National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-6089 (URN)10.1002/qj.2608 (DOI)000366860500027 ()449e0bae-1fdb-4f2f-8de1-e30bb8aac2ef (Local ID)449e0bae-1fdb-4f2f-8de1-e30bb8aac2ef (Archive number)449e0bae-1fdb-4f2f-8de1-e30bb8aac2ef (OAI)
Note
Validerad; 2016; Nivå 2; 20150910 (ninhul)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Aires, F., Prigent, C., Orlandi, E., Milz, M., Eriksson, P., Crewell, S., . . . Kangas, V. (2015). Microwave hyperspectral measurements for temperature and humidity atmospheric profiling from satellite: The clear-sky case (ed.). Paper presented at . Journal of Geophysical Research - Atmospheres, 120(21), 11334-11351
Open this publication in new window or tab >>Microwave hyperspectral measurements for temperature and humidity atmospheric profiling from satellite: The clear-sky case
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2015 (English)In: Journal of Geophysical Research - Atmospheres, ISSN 2169-897X, E-ISSN 2169-8996, Vol. 120, no 21, p. 11334-11351Article in journal (Refereed) Published
Abstract [en]

This study investigates the benefits of a satellite HYper-spectral Microwave Sensor (HYMS) for the retrieval of atmospheric temperature and humidity profiles, in the context of Numerical Weather Prediction (NWP). In the infrared, hyper-spectral instruments have already improved the accuracy of NWP forecasts. Microwave instruments so far only provide observations for a limited number of carefully selected channels. An information content analysis is conducted here to assess the impact of hyper-spectral microwave measurements on the retrieval of temperature and water vapor profiles under clear-sky conditions. It uses radiative transfer simulations over a large variety of atmospheric situations. It accounts for realistic observation (instrument and radiative transfer) noise and for a priori information assumptions compatible with NWP practices. The estimated retrieval performance of the HYMS instrument is compared to those of the microwave instruments to be deployed on board the future generation of European operational meteorological satellites (MetOp-SG). The results confirm the positive impact of a HYMS instrument on the atmospheric profiling capabilities compared to MetOp-SG. Temperature retrieval uncertainty, compared to a priori information, is reduced by 2 to 10%, depending on the atmospheric height, and improvement rates are much higher than what will be obtained with MetOp-SG. For humidity sounding these improvements can reach 30%, a significant benefit as compared to MetOp-SG results especially below 250 hPa. The results are not very sensitive to the instrument noise, under our assumptions. The main impact provided by the hyper-spectral information originates from the higher resolution in the O2 band around 60 GHz. The results are presented over ocean at nadir but similar conclusions are obtained for other incidence angles and over land

National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-12795 (URN)10.1002/2015JD023331 (DOI)000367823600017 ()bf3fe476-4492-4d63-8f25-4af452142759 (Local ID)bf3fe476-4492-4d63-8f25-4af452142759 (Archive number)bf3fe476-4492-4d63-8f25-4af452142759 (OAI)
Note
Validerad; 2015; Nivå 2; 20151028 (ninhul)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Larsson, R., Milz, M., Rayer, P., Saunders, R., Bell, W., Booton, A., . . . John, V. (2015). Modeling the Zeeman effect in high altitude SSMIS channels for numerical weather prediction profiles: Comparing a fast model and a line-by-line model (ed.). Paper presented at . Atmospheric Measurement Techniques Discussions, 8(10), 10179-10211
Open this publication in new window or tab >>Modeling the Zeeman effect in high altitude SSMIS channels for numerical weather prediction profiles: Comparing a fast model and a line-by-line model
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2015 (English)In: Atmospheric Measurement Techniques Discussions, ISSN 1867-8610, E-ISSN 1867-8610, Vol. 8, no 10, p. 10179-10211Article in journal (Refereed) Published
Abstract [en]

We present a comparison of a reference and a fast radiative transfer model using numerical weather prediction profiles for the Zeeman-affected high altitude Special Sensor Microwave Imager/Sounder channels 19–22. We find that the models agree well for channels 21 and 22 compared to the channels' system noise temperatures (1.9 and 1.3 K, respectively) and the expected profile errors at the affected altitudes (estimated to be around 5 K). For channel 22 there is a 0.5 K average difference between the models, with a standard deviation of 0.24 K for the full set of atmospheric profiles. Same channel, there is 1.2 K in average between the fast model and the sensor measurement, with 1.4 K standard deviation. For channel 21 there is a 0.9 K average difference between the models, with a standard deviation of 0.56 K. Same channel, there is 1.3 K in average between the fast model and the sensor measurement, with 2.4 K standard deviation. We consider the relatively small model differences as a validation of the fast Zeeman effect scheme for these channels. Both channels 19 and 20 have smaller average differences between the models (at below 0.2 K) and smaller standard deviations (at below 0.4 K) when both models use a two-dimensional magnetic field profile. However, when the reference model is switched to using a full three-dimensional magnetic field profile, the standard deviation to the fast model is increased to almost 2 K due to viewing geometry dependencies causing up to ± 7 K differences near the equator. The average differences between the two models remain small despite changing magnetic field configurations. We are unable to compare channels 19 and 20 to sensor measurements due to limited altitude range of the numerical weather prediction profiles. We recommended that numerical weather prediction software using the fast model takes the available fast Zeeman scheme into account for data assimilation of the affected sensor channels to better constrain the upper atmospheric temperatures.

National Category
Aerospace Engineering
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-13000 (URN)10.5194/amtd-8-10179-2015 (DOI)c26ba56e-7ae1-4b4f-93a3-78229974ef39 (Local ID)c26ba56e-7ae1-4b4f-93a3-78229974ef39 (Archive number)c26ba56e-7ae1-4b4f-93a3-78229974ef39 (OAI)
Note
Godkänd; 2015; 20151028 (ninhul)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4478-2185

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