bibtype |
A -
Abstract
|
ARLID |
0572062 |
utime |
20240402213942.9 |
mtime |
20230522235959.9 |
DOI |
10.5194/egusphere-egu23-12287 |
title
(primary) (eng) |
Decreasing trends of NH3 over Europe seen from space |
specification |
page_count |
1 s. |
media_type |
E |
|
serial |
ARLID |
cav_un_epca*0572061 |
title
|
EGU General Assembly 2023 |
publisher |
place |
Munich |
name |
The European Geosciences Union |
year |
2023 |
|
|
keyword |
NH3 |
author
(primary) |
ARLID |
cav_un_auth*0363740 |
name1 |
Evangeliou |
name2 |
N. |
country |
NO |
|
author
|
ARLID |
cav_un_auth*0267768 |
name1 |
Tichý |
name2 |
Ondřej |
institution |
UTIA-B |
full_dept (cz) |
Adaptivní systémy |
full_dept |
Department of Adaptive Systems |
department (cz) |
AS |
department |
AS |
full_dept |
Department of Adaptive Systems |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0419235 |
name1 |
Eckhardt |
name2 |
S. |
country |
NO |
|
author
|
ARLID |
cav_un_auth*0450270 |
name1 |
Balkanski |
name2 |
Y. |
country |
FR |
|
author
|
ARLID |
cav_un_auth*0450271 |
name1 |
Hauglustaine |
name2 |
D. |
country |
FR |
|
source |
|
cas_special |
abstract
(eng) |
In the present study, we use direct comparisons between the CrIS (Cross-track Infrared Sounder ) observations and model retrievals using the Least Squares with Adaptive Prior Covariance (LS-APC) algorithm, which reduces the number of tuning parameters in the method significantly using variational Bayes approximation technique. We constrain ammonia emissions over Europe over 2013–2020 and validate the results against ground-based observations from the EMEP (European Monitoring and Evaluation Programme). We find that emissions of ammonia decreased from 5431 Gg in 2013 to 3994 Gg in 2020 (-26%). Regionally, emissions declined by 38% in Central and Eastern Europe, 37% in Western Europe, 8% in Southern Europe and -17% in Northern Europe. |
action |
ARLID |
cav_un_auth*0450272 |
name |
EGU General Assembly 2023 |
dates |
20230423 |
mrcbC20-s |
20230428 |
place |
Vídeň |
country |
AT |
|
reportyear |
2024 |
num_of_auth |
5 |
presentation_type |
PO |
permalink |
https://hdl.handle.net/11104/0342938 |
mrcbC61 |
1 |
confidential |
S |
arlyear |
2023 |
mrcbU14 |
SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU63 |
cav_un_epca*0572061 EGU General Assembly 2023 The European Geosciences Union 2023 Munich |
|