Zobrazeno 1 - 10
of 836
pro vyhledávání: '"R. Kretschmer"'
Publikováno v:
Atmospheric Measurement Techniques, Vol 8, Iss 10, Pp 4215-4230 (2015)
The mixing height is a key parameter for many applications that relate surface–atmosphere exchange fluxes to atmospheric mixing ratios, e.g., in atmospheric transport modeling of pollutants. The mixing height can be estimated with various methods:
Externí odkaz:
https://doaj.org/article/05a89db91323472f82111dec3d88dd7d
Autor:
R. Kretschmer, C. Gerbig, U. Karstens, G. Biavati, A. Vermeulen, F. Vogel, S. Hammer, K. U. Totsche
Publikováno v:
Atmospheric Chemistry and Physics, Vol 14, Iss 14, Pp 7149-7172 (2014)
The mixing height (MH) is a crucial parameter in commonly used transport models that proportionally affects air concentrations of trace gases with sources/sinks near the ground and on diurnal scales. Past synthetic data experiments indicated the p
Externí odkaz:
https://doaj.org/article/5a4a749bc93448df8163a3401d5cbe98
Publikováno v:
Atmospheric Chemistry and Physics, Vol 12, Iss 19, Pp 8979-8991 (2012)
We present simulations of atmospheric CO2 concentrations provided by two modeling systems, run at high spatial resolution: the Eulerian-based Weather Research Forecasting (WRF) model and the Lagrangian-based Stochastic Time-Inverted Lagrangian Transp
Externí odkaz:
https://doaj.org/article/a8b71d5ab1064a0fbdf838a2592ee72f
Publikováno v:
Atmospheric Chemistry and Physics, Vol 12, Iss 5, Pp 2441-2458 (2012)
One of the dominant uncertainties in inverse estimates of regional CO2 surface-atmosphere fluxes is related to model errors in vertical transport within the planetary boundary layer (PBL). In this study we present the results from a synthetic experim
Externí odkaz:
https://doaj.org/article/151732ddbdf64e78bc4fe7ba20313911
Autor:
B. Neininger, T. Koch, R. Thompson, R. Kretschmer, C. Rödenbeck, R. Ahmadov, C. Gerbig, D. Pillai, J. V. Lavrié
Publikováno v:
Atmospheric Chemistry and Physics, Vol 11, Iss 15, Pp 7445-7464 (2011)
Accurate simulation of the spatial and temporal variability of tracer mixing ratios over complex terrain is challenging, but essential in order to utilize measurements made in complex orography (e.g. mountain and coastal sites) in an atmospheric inve
Externí odkaz:
https://doaj.org/article/8dfb3652db7343cc83fa71eaf8439a62
Publikováno v:
Atmospheric Chemistry and Physics, Vol 10, Iss 1, Pp 83-94 (2010)
Satellite retrievals for column CO2 with better spatial and temporal sampling are expected to improve the current surface flux estimates of CO2 via inverse techniques. However, the spatial scale mismatch between remotely sensed CO2 and current genera
Externí odkaz:
https://doaj.org/article/a10fee71c9c34555bcd7b20a110eeba5
Publikováno v:
Biogeosciences, Vol 6, Iss 5, Pp 807-817 (2009)
In order to better understand the effects that mesoscale transport has on atmospheric CO2 distributions, we have used the atmospheric WRF model coupled to the diagnostic biospheric model VPRM, which provides high resolution biospheric CO2 fluxes base
Externí odkaz:
https://doaj.org/article/5820d44b3c44469d80ba561d26651fe1
Publikováno v:
Psychiatry International, Vol 3, Iss 4, Pp 363-399 (2022)
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental condition impacting children and adults. Current treatments are limited and there is increasing interest in the use of mindfulness, which is growing in popularity. Previou
Externí odkaz:
https://doaj.org/article/3537982bac984e45984eb9edfd006817
Autor:
C.A. Matzenbacher, J. Da Silva, A.L.H. Garcia, R. Kretschmer, M. Cappetta, E.H.C. de Oliveira, T.R.O. de Freitas
Publikováno v:
Genome. 65:563-572
The genus Ctenomys has been widely used in karyotype evolution studies due to the variation in their diploid numbers. Ctenomys minutus is characterized by intraspecific variation in diploid number (2 n = 42, 46, 48, and 50), which makes it an interes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::895a9ab03f4072f1209e9816db5bc429
https://doi.org/10.1139/gen-2022-0018
https://doi.org/10.1139/gen-2022-0018
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