Toward assimilation of observation-derived mixing heights to improve atmospheric tracer transport models
(2012) In Geophysical Monograph Series 200. p.185-205- Abstract
Common transport models use the mixing height (MH) to determine turbulent coefficients and to obtain tracer concentrations in the planetary boundary layer (PBL). We conducted a pseudo data experiment to elucidate the impact of assimilating MHs to improve CO2 transport within the Stochastic Time-Inverted Lagrangian Transport model (STILT). Transport of CO2 was simulated for August 2006 with a receptor located at Bialystok, Poland. STILT was driven by meteorology obtained from the Weather Research and Forecasting (WRF) model, using the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) PBL parameterizations, which differ substantially in the produced MHs. To quantify model-data mismatch in CO2 to... (More)
Common transport models use the mixing height (MH) to determine turbulent coefficients and to obtain tracer concentrations in the planetary boundary layer (PBL). We conducted a pseudo data experiment to elucidate the impact of assimilating MHs to improve CO2 transport within the Stochastic Time-Inverted Lagrangian Transport model (STILT). Transport of CO2 was simulated for August 2006 with a receptor located at Bialystok, Poland. STILT was driven by meteorology obtained from the Weather Research and Forecasting (WRF) model, using the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) PBL parameterizations, which differ substantially in the produced MHs. To quantify model-data mismatch in CO2 to errors in vertical mixing, we defined the WRF-YSU simulation as known truth. Pseudo MH observations were sampled from WRF-YSU at locations of real radiosonde stations. These point observations were interpolated in space-time to the entire WRF domain using kriging with an external drift, which combines observed and modeled MHs to create a "best guess" MH field. We prescribed MHs in STILT driven by WRF-MYJ winds with the best guess to study the impact on CO 2 concentrations. Differences in CO2 between the STILT simulations were on the order of ̃0-1 and ̃1-10 ppm on average (i.e., bias), with standard deviations of ̃1-3 and ̃4-14 ppm (random error) during day (12 UTC) and nighttime (0 UTC), respectively. These were reduced when using STILT with the best guess (̃50%-80% of the bias, ̃10%-20% of the random error). Simulated CO2 concentrations and MHs were also compared to measurements made at the Bialystok tall tower.
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- author
- Kretschmer, Roberto ; Koch, Frank Thomas ; Feist, Dietrich G. ; Biavati, Gionata ; Karstens, Ute LU and Gerbig, Christoph
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Geophysical Monograph Series
- series title
- Geophysical Monograph Series
- volume
- 200
- pages
- 21 pages
- publisher
- American Geophysical Union (AGU)
- external identifiers
-
- scopus:84899521529
- DOI
- 10.1029/2012GM001255
- language
- English
- LU publication?
- no
- id
- 406cd59f-6c2d-46d6-b722-45cc03a98e77
- date added to LUP
- 2016-08-31 11:03:27
- date last changed
- 2022-02-21 20:13:17
@inbook{406cd59f-6c2d-46d6-b722-45cc03a98e77, abstract = {{<p>Common transport models use the mixing height (MH) to determine turbulent coefficients and to obtain tracer concentrations in the planetary boundary layer (PBL). We conducted a pseudo data experiment to elucidate the impact of assimilating MHs to improve CO<sub>2</sub> transport within the Stochastic Time-Inverted Lagrangian Transport model (STILT). Transport of CO<sub>2</sub> was simulated for August 2006 with a receptor located at Bialystok, Poland. STILT was driven by meteorology obtained from the Weather Research and Forecasting (WRF) model, using the Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ) PBL parameterizations, which differ substantially in the produced MHs. To quantify model-data mismatch in CO<sub>2</sub> to errors in vertical mixing, we defined the WRF-YSU simulation as known truth. Pseudo MH observations were sampled from WRF-YSU at locations of real radiosonde stations. These point observations were interpolated in space-time to the entire WRF domain using kriging with an external drift, which combines observed and modeled MHs to create a "best guess" MH field. We prescribed MHs in STILT driven by WRF-MYJ winds with the best guess to study the impact on CO <sub>2</sub> concentrations. Differences in CO<sub>2</sub> between the STILT simulations were on the order of ̃0-1 and ̃1-10 ppm on average (i.e., bias), with standard deviations of ̃1-3 and ̃4-14 ppm (random error) during day (12 UTC) and nighttime (0 UTC), respectively. These were reduced when using STILT with the best guess (̃50%-80% of the bias, ̃10%-20% of the random error). Simulated CO<sub>2</sub> concentrations and MHs were also compared to measurements made at the Bialystok tall tower.</p>}}, author = {{Kretschmer, Roberto and Koch, Frank Thomas and Feist, Dietrich G. and Biavati, Gionata and Karstens, Ute and Gerbig, Christoph}}, booktitle = {{Geophysical Monograph Series}}, language = {{eng}}, pages = {{185--205}}, publisher = {{American Geophysical Union (AGU)}}, series = {{Geophysical Monograph Series}}, title = {{Toward assimilation of observation-derived mixing heights to improve atmospheric tracer transport models}}, url = {{http://dx.doi.org/10.1029/2012GM001255}}, doi = {{10.1029/2012GM001255}}, volume = {{200}}, year = {{2012}}, }