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Willén, Ulrika
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Publikasjoner (10 av 39) Visa alla publikasjoner
Eliasson, S., Karlsson, K.-G., van Meijgaard, E., Meirink, J. F., Stengel, M. & Willén, U. (2019). The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model. Geoscientific Model Development, 12(2), 829-847
Åpne denne publikasjonen i ny fane eller vindu >>The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model
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2019 (engelsk)Inngår i: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 12, nr 2, s. 829-847Artikkel i tidsskrift (Fagfellevurdert) Published
HSV kategori
Forskningsprogram
Fjärranalys
Identifikatorer
urn:nbn:se:smhi:diva-5301 (URN)10.5194/gmd-12-829-2019 (DOI)000459423200001 ()
Tilgjengelig fra: 2019-07-31 Laget: 2019-07-31 Sist oppdatert: 2019-07-31bibliografisk kontrollert
Stengel, M., Schlundt, C., Stapelberg, S., Sus, O., Eliasson, S., Willén, U. & Meirink, J. F. (2018). Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator. Atmospheric Chemistry And Physics, 18(23), 17601-17614
Åpne denne publikasjonen i ny fane eller vindu >>Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator
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2018 (engelsk)Inngår i: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 18, nr 23, s. 17601-17614Artikkel i tidsskrift (Fagfellevurdert) Published
HSV kategori
Forskningsprogram
Klimat; Fjärranalys
Identifikatorer
urn:nbn:se:smhi:diva-5026 (URN)10.5194/acp-18-17601-2018 (DOI)000452860300003 ()
Tilgjengelig fra: 2019-01-08 Laget: 2019-01-08 Sist oppdatert: 2019-01-08bibliografisk kontrollert
Bennartz, R., Hoschen, H., Picard, B., Schroder, M., Stengel, M., Sus, O., . . . Willén, U. (2017). An intercalibrated dataset of total column water vapour and wet tropospheric correction based on MWR on board ERS-1, ERS-2, and Envisat. Atmospheric Measurement Techniques, 10(4), 1387-1402
Åpne denne publikasjonen i ny fane eller vindu >>An intercalibrated dataset of total column water vapour and wet tropospheric correction based on MWR on board ERS-1, ERS-2, and Envisat
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2017 (engelsk)Inngår i: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 10, nr 4, s. 1387-1402Artikkel i tidsskrift (Fagfellevurdert) Published
HSV kategori
Forskningsprogram
Fjärranalys
Identifikatorer
urn:nbn:se:smhi:diva-4093 (URN)10.5194/amt-10-1387-2017 (DOI)000399302900001 ()
Tilgjengelig fra: 2017-05-11 Laget: 2017-05-11 Sist oppdatert: 2017-05-11bibliografisk kontrollert
Lauer, A., Eyring, V., Righi, M., Buchwitz, M., Defourny, P., Evaldsson, M., . . . Willén, U. (2017). Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment, 203, 9-39
Åpne denne publikasjonen i ny fane eller vindu >>Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool
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2017 (engelsk)Inngår i: Remote Sensing of Environment, ISSN 0034-4257, E-ISSN 1879-0704, Vol. 203, s. 9-39Artikkel i tidsskrift (Fagfellevurdert) Published
HSV kategori
Forskningsprogram
Klimat
Identifikatorer
urn:nbn:se:smhi:diva-4459 (URN)10.1016/j.rse.2017.01.007 (DOI)000418464200003 ()
Tilgjengelig fra: 2018-01-09 Laget: 2018-01-09 Sist oppdatert: 2018-01-09bibliografisk kontrollert
Stengel, M., Stapelberg, S., Sus, O., Schlundt, C., Poulsen, C., Thomas, G., . . . Hollmann, R. (2017). Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project. Earth System Science Data, 9(2), 881-904
Åpne denne publikasjonen i ny fane eller vindu >>Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project
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2017 (engelsk)Inngår i: Earth System Science Data, ISSN 1866-3508, E-ISSN 1866-3516, Vol. 9, nr 2, s. 881-904Artikkel i tidsskrift (Fagfellevurdert) Published
HSV kategori
Forskningsprogram
Fjärranalys
Identifikatorer
urn:nbn:se:smhi:diva-4451 (URN)10.5194/essd-9-881-2017 (DOI)000416002500001 ()
Tilgjengelig fra: 2017-12-12 Laget: 2017-12-12 Sist oppdatert: 2017-12-12bibliografisk kontrollert
Koenigk, T., Brodeau, L., Graversen, R. G., Karlsson, J., Svensson, G., Tjernstrom, M., . . . Wyser, K. (2013). Arctic climate change in 21st century CMIP5 simulations with EC-Earth. Climate Dynamics, 40(11-12), 2719-2743
Åpne denne publikasjonen i ny fane eller vindu >>Arctic climate change in 21st century CMIP5 simulations with EC-Earth
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2013 (engelsk)Inngår i: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 40, nr 11-12, s. 2719-2743Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The Arctic climate change is analyzed in an ensemble of future projection simulations performed with the global coupled climate model EC-Earth2.3. EC-Earth simulates the twentieth century Arctic climate relatively well but the Arctic is about 2 K too cold and the sea ice thickness and extent are overestimated. In the twenty-first century, the results show a continuation and strengthening of the Arctic trends observed over the recent decades, which leads to a dramatically changed Arctic climate, especially in the high emission scenario RCP8.5. The annually averaged Arctic mean near-surface temperature increases by 12 K in RCP8.5, with largest warming in the Barents Sea region. The warming is most pronounced in winter and autumn and in the lower atmosphere. The Arctic winter temperature inversion is reduced in all scenarios and disappears in RCP8.5. The Arctic becomes ice free in September in all RCP8.5 simulations after a rapid reduction event without recovery around year 2060. Taking into account the overestimation of ice in the twentieth century, our model results indicate a likely ice-free Arctic in September around 2040. Sea ice reductions are most pronounced in the Barents Sea in all RCPs, which lead to the most dramatic changes in this region. Here, surface heat fluxes are strongly enhanced and the cloudiness is substantially decreased. The meridional heat flux into the Arctic is reduced in the atmosphere but increases in the ocean. This oceanic increase is dominated by an enhanced heat flux into the Barents Sea, which strongly contributes to the large sea ice reduction and surface-air warming in this region. Increased precipitation and river runoff lead to more freshwater input into the Arctic Ocean. However, most of the additional freshwater is stored in the Arctic Ocean while the total Arctic freshwater export only slightly increases.

Emneord
Arctic climate, Future scenarios, CMIP5, Global coupled atmosphere-ocean modeling, Coupled Arctic climate processes
HSV kategori
Forskningsprogram
Klimat
Identifikatorer
urn:nbn:se:smhi:diva-375 (URN)10.1007/s00382-012-1505-y (DOI)000319360800010 ()
Tilgjengelig fra: 2015-04-07 Laget: 2015-03-31 Sist oppdatert: 2017-12-04bibliografisk kontrollert
Ning, T., Elgered, G., Willén, U. & Johansson, J. M. (2013). Evaluation of the atmospheric water vapor content in a regional climate model using ground-based GPS measurements. Journal of Geophysical Research - Atmospheres, 118(2), 329-339
Åpne denne publikasjonen i ny fane eller vindu >>Evaluation of the atmospheric water vapor content in a regional climate model using ground-based GPS measurements
2013 (engelsk)Inngår i: Journal of Geophysical Research - Atmospheres, ISSN 2169-897X, E-ISSN 2169-8996, Vol. 118, nr 2, s. 329-339Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Ground-based GPS measurements can provide independent data for the assessment of climate models. We use the atmospheric integrated water vapor (IWV) obtained from GPS measurements at 99 European sites to evaluate the regional Rossby Centre Atmospheric climate model (RCA) driven at the boundaries by the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data (ERA Interim). The GPS data were compared to the RCA simulation and the ERA Interim data. The comparison was first made using the monthly mean values. Averaged over the domain and the 14 years covered by the GPS data, IWV differences of about 0.47 kg/m(2) and 0.39 kg/m(2) are obtained for RCA-GPS and ECMWF-GPS, respectively. The RCA-GPS standard deviation is 0.98 kg/m(2) whereas it is 0.35 kg/m(2) for the ECMWF-GPS comparison. The IWV differences for RCA are positively correlated to the differences for ECMWF. However, this is not the case for two sites in Italy where a wet bias is seen for ECMWF, while a dry bias is seen for RCA, the latter being consistent with a cold temperature bias found for RCA in that region by other authors. Comparisons of the estimated diurnal cycle and the spatial structure function of the IWV were made between the GPS data and the RCA simulation. The RCA captures the geographical variation of the diurnal peak in the summer. Averaged over all sites, a peak at 17 local solar time is obtained from the GPS data while it appears later, at 18, in the RCA simulation. The spatial variation of the IWV obtained for an RCA run with a resolution of 11 km gives a better agreement with the GPS results than does the spatial variation from a 50 km resolution run. Citation: Ning, T., G. Elgered, U. Willen, and J. M. Johansson (2013), Evaluation of the atmospheric water vapor content in a regional climate model using ground-based GPS measurements, J. Geophys. Res. Atmos., 118, 329-339, doi: 10.1029/2012JD018053.

HSV kategori
Forskningsprogram
Klimat
Identifikatorer
urn:nbn:se:smhi:diva-392 (URN)10.1029/2012JD018053 (DOI)000317838100007 ()
Tilgjengelig fra: 2015-04-02 Laget: 2015-03-31 Sist oppdatert: 2017-12-04bibliografisk kontrollert
Ning, T., Haas, R., Elgered, G. & Willen, U. (2012). Multi-technique comparisons of 10 years of wet delay estimates on the west coast of Sweden. Journal of Geodesy, 86(7), 565-575
Åpne denne publikasjonen i ny fane eller vindu >>Multi-technique comparisons of 10 years of wet delay estimates on the west coast of Sweden
2012 (engelsk)Inngår i: Journal of Geodesy, ISSN 0949-7714, E-ISSN 1432-1394, Vol. 86, nr 7, s. 565-575Artikkel, forskningsoversikt (Fagfellevurdert) Published
Abstract [en]

We present comparisons of 10-year-long time series of the atmospheric zenith wet delay (ZWD), estimated using the global positioning system (GPS), geodetic very long baseline interferometry (VLBI), a water vapour radiometer (WVR), radiosonde (RS) observations, and the reanalysis product of the European Centre for Medium-Range Weather Forecasts (ECMWF). To compare the data sets with each other, a Gaussian filter is applied. The results from 10 GPS-RS comparisons using sites in Sweden and Finland show that the full width at half maximum at which the standard deviation (SD) is a minimum increases with the distance between each pair. Comparisons between three co-located techniques (GPS, VLBI, and WVR) result in mean values of the ZWD differences at a level of a few millimetres and SD of less than 7 mm. The best agreement is seen in the GPS-VLBI comparison with a mean difference of -3.4 mm and an SD of 5.1 mm over the 10-year period. With respect to the ZWD derived from other techniques, a positive bias of up to similar to 7 mm is obtained for the ECMWF reanalysis product. Performing the comparisons on a monthly basis, we find that the SD including RS or ECMWF varies with the season, between 3 and 15 mm. The monthly SD between GPS and WVR does not have a seasonal signature and varies from 3 to 7 mm.

Emneord
Zenith wet delay, GPS, Radiosonde, VLBI, Water vapour radiometer, ECMWF
HSV kategori
Forskningsprogram
Klimat
Identifikatorer
urn:nbn:se:smhi:diva-455 (URN)10.1007/s00190-011-0527-2 (DOI)000305466100006 ()
Tilgjengelig fra: 2015-04-20 Laget: 2015-04-14 Sist oppdatert: 2017-12-04bibliografisk kontrollert
Samuelsson, P., Jones, C., Willén, U., Ullerstig, A., Gollvik, S., Hansson, U., . . . Wyser, K. (2011). The Rossby Centre Regional Climate Model RCA3: Model description and performance. Tellus. Series A, Dynamic meteorology and oceanography, 63A(1), 4-23
Åpne denne publikasjonen i ny fane eller vindu >>The Rossby Centre Regional Climate Model RCA3: Model description and performance
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2011 (engelsk)Inngår i: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 63A, nr 1, s. 4-23Artikkel i tidsskrift (Fagfellevurdert) Published
HSV kategori
Forskningsprogram
Klimat
Identifikatorer
urn:nbn:se:smhi:diva-4521 (URN)10.1111/j.1600-0870.2010.00478.x (DOI)
Tilgjengelig fra: 2018-03-16 Laget: 2018-03-16 Sist oppdatert: 2018-03-16bibliografisk kontrollert
Samuelsson, P., Jones, C., Willén, U., Ullerstig, A., Gollvik, S., Hansson, U., . . . Wyser, K. (2011). The Rossby Centre Regional Climate model RCA3: model description and performance. Tellus. Series A, Dynamic meteorology and oceanography (1), 4-23
Åpne denne publikasjonen i ny fane eller vindu >>The Rossby Centre Regional Climate model RCA3: model description and performance
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2011 (engelsk)Inngår i: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, nr 1, s. 4-23Artikkel i tidsskrift (Fagfellevurdert) Published
HSV kategori
Forskningsprogram
Klimat
Identifikatorer
urn:nbn:se:smhi:diva-4543 (URN)10.1111/j.1600-0870.2010.00478.x (DOI)
Tilgjengelig fra: 2018-03-20 Laget: 2018-03-20 Sist oppdatert: 2019-10-11bibliografisk kontrollert
Organisasjoner
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