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BETA
Haase, Günther
Alternative names
Publications (10 of 17) Show all publications
Michelson, D., Henja, A., Ernes, S., Haase, G., Koistinen, J., Ośródka, K., . . . Szturc, J. (2018). BALTRAD Advanced Weather Radar Networking. Journal of Open Research Software (3), Article ID 12.
Open this publication in new window or tab >>BALTRAD Advanced Weather Radar Networking
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2018 (English)In: Journal of Open Research Software, ISSN 2049-9647, no 3, article id 12Article in journal (Refereed) Published
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
urn:nbn:se:smhi:diva-4562 (URN)10.5334/jors.193 (DOI)
Available from: 2018-04-09 Created: 2018-04-09 Last updated: 2018-04-09Bibliographically approved
Dokter, A. M., Desmet, P., Spaaks, J. H., van Hoey, S., Veen, L., Verlinden,, L., . . . Shamoun-Baranes, J. (2018). bioRad: biological analysis and visualization of weather radar data. Ecography (42), 1-9
Open this publication in new window or tab >>bioRad: biological analysis and visualization of weather radar data
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2018 (English)In: Ecography, ISSN 0906-7590, E-ISSN 1600-0587, no 42, p. 1-9Article in journal (Refereed) Published
National Category
Remote Sensing
Identifiers
urn:nbn:se:smhi:diva-5144 (URN)
Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-01-21Bibliographically approved
Nilsson, C., M. Dokter, A., Schmid, B., Scacco, M., Verlinden, L., Bäckman, J., . . . Liechti, F. (2018). Field validation of radar systems for monitoring bird migration. Journal of Applied Ecology, 00, 1-13
Open this publication in new window or tab >>Field validation of radar systems for monitoring bird migration
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2018 (English)In: Journal of Applied Ecology, ISSN 0021-8901, E-ISSN 1365-2664, Vol. 00, p. 1-13Article in journal (Refereed) Published
Place, publisher, year, edition, pages
wiley online library, 2018
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
urn:nbn:se:smhi:diva-4688 (URN)10.1111/1365-2664.13174 (DOI)
Available from: 2018-06-12 Created: 2018-06-12 Last updated: 2018-06-12Bibliographically approved
Dufton, D., Haase, G., Johnson, D. & Vulpiani, G. (2018). MONITORING THE ONGOING UPGRADE OF THE SWEDISH WEATHER RADAR NETWORK. In: Vos, Lotte de; Leijnse, Hidde; Uijlenhoet, Remko (Ed.), 10th European Conference on Radar in Meteorology and Hydrology (ERAD 2018) : 1-6 July 2018, Ede-Wageningen, The Netherlands: . Paper presented at 10th European Conference on Radar in Meteorology and Hydrology ERAD 2018 (pp. 249-250). , Article ID 6.16.
Open this publication in new window or tab >>MONITORING THE ONGOING UPGRADE OF THE SWEDISH WEATHER RADAR NETWORK
2018 (English)In: 10th European Conference on Radar in Meteorology and Hydrology (ERAD 2018) : 1-6 July 2018, Ede-Wageningen, The Netherlands / [ed] Vos, Lotte de; Leijnse, Hidde; Uijlenhoet, Remko, 2018, p. 249-250, article id 6.16Conference paper, Published paper (Other academic)
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
urn:nbn:se:smhi:diva-4975 (URN)10.18174/454537 (DOI)
Conference
10th European Conference on Radar in Meteorology and Hydrology ERAD 2018
Available from: 2018-10-09 Created: 2018-10-09 Last updated: 2018-10-09Bibliographically approved
Saltikoff, E., Haase, G., Leijnse, H., Novák, P. & Delobbe, L. (2018). OPERA – past, present and future. In: Vos, Lotte de; Leijnse, Hidde; Uijlenhoet, Remko (Ed.), ERAD 2018 10TH EUROPEAN CONFERENCE ON RADAR IN METEOROLOGY & HYDROLOGY: . Paper presented at 10th European Conference on Radar in Meteorology and Hydrology (ERAD 2018) : 1-6 July 2018, Ede-Wageningen, The Netherlands (pp. 491-493).
Open this publication in new window or tab >>OPERA – past, present and future
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2018 (English)In: ERAD 2018 10TH EUROPEAN CONFERENCE ON RADAR IN METEOROLOGY & HYDROLOGY / [ed] Vos, Lotte de; Leijnse, Hidde; Uijlenhoet, Remko, 2018, p. 491-493Conference paper, Published paper (Other academic)
Series
ERAD 2018 Conference Proceeding
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
urn:nbn:se:smhi:diva-4981 (URN)10.18174/454537 (DOI)
Conference
10th European Conference on Radar in Meteorology and Hydrology (ERAD 2018) : 1-6 July 2018, Ede-Wageningen, The Netherlands
Available from: 2018-10-11 Created: 2018-10-11 Last updated: 2018-10-11Bibliographically approved
Huuskonen, A., Haase, G., Michelson, D., Leijnse, H., Holleman, I., Probert, M., . . . Hohti, H. (2018). Operational Solar Monitoring for Improving theHomogeneity of the European Radar Network. In: Vos, Lotte de; Leijnse, Hidde; Uijlenhoet, Remko (Ed.), ERAD 2018 10TH EUROPEAN CONFERENCE ON RADAR IN METEOROLOGY & HYDROLOGY: . Paper presented at 10th European Conference on Radar in Meteorology and Hydrology (ERAD 2018) : 1-6 July 2018, Ede-Wageningen, The Netherlands (pp. 594-600).
Open this publication in new window or tab >>Operational Solar Monitoring for Improving theHomogeneity of the European Radar Network
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2018 (English)In: ERAD 2018 10TH EUROPEAN CONFERENCE ON RADAR IN METEOROLOGY & HYDROLOGY / [ed] Vos, Lotte de; Leijnse, Hidde; Uijlenhoet, Remko, 2018, p. 594-600Conference paper, Published paper (Other academic)
Series
ERAD conference proceedings
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
urn:nbn:se:smhi:diva-4980 (URN)10.18174/454537 (DOI)
Conference
10th European Conference on Radar in Meteorology and Hydrology (ERAD 2018) : 1-6 July 2018, Ede-Wageningen, The Netherlands
Available from: 2018-10-11 Created: 2018-10-11 Last updated: 2018-10-11Bibliographically approved
Nilsson, C., Dokter, A. M., Verlinden, L., Shamoun-Baranes, J., Schmid, B., Desmet, P., . . . Liechti, F. (2018). Revealing patterns of nocturnal migration using the European weather radar network. Ecography (42), 1-11
Open this publication in new window or tab >>Revealing patterns of nocturnal migration using the European weather radar network
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2018 (English)In: Ecography, ISSN 0906-7590, E-ISSN 1600-0587, no 42, p. 1-11Article in journal (Refereed) Published
National Category
Remote Sensing
Identifiers
urn:nbn:se:smhi:diva-5143 (URN)
Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-01-21Bibliographically approved
Huuskonen, A., Haase, G., Michelson, D., Leijnse, H., Holleman, I., Probert, M., . . . Hohti, H. (2016). Solar Monitoring as a Tool for improving the Homogeneity of Radar Networks. In: : . Paper presented at ERAD-2016, Antalya, Turkey, 10-14 October 2016. , Article ID 6.6.
Open this publication in new window or tab >>Solar Monitoring as a Tool for improving the Homogeneity of Radar Networks
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2016 (English)Conference paper, Published paper (Other academic)
National Category
Meteorology and Atmospheric Sciences
Research subject
Remote sensing
Identifiers
urn:nbn:se:smhi:diva-3921 (URN)
Conference
ERAD-2016, Antalya, Turkey, 10-14 October 2016
Available from: 2017-02-13 Created: 2017-02-13 Last updated: 2018-06-19Bibliographically approved
Ridal, M., Lindskog, M., Gustafsson, N. & Haase, G. (2011). Optimized advection of radar reflectivities. Atmospheric research, 100(2-3), 213-225
Open this publication in new window or tab >>Optimized advection of radar reflectivities
2011 (English)In: Atmospheric research, ISSN 0169-8095, E-ISSN 1873-2895, Vol. 100, no 2-3, p. 213-225Article in journal (Refereed) Published
Abstract [en]

A nowcasting system for generation of short-range precipitation forecasts has been developed at the Swedish Meteorological and Hydrological Institute (SMHI). The methodology consists of utilising a time-series of radar reflectivity composites for deriving an advection field, which will give a better representation of the motion of the precipitation pattern compared to a model wind field. The advection field is derived applying a 4-dimensional variational data assimilation technique. The resulting field is then used for a semi-Lagrangian advection of the latest available reflectivity field forward in time. During the forecast, the advected field is gradually replaced by a numerical weather prediction forecast in order to include the onset of convection and advection into the radar coverage area. In an idealised example with simulated observations the functionality of the method is demonstrated. For a case study of a full scale example the resulting precipitation forecast shows large improvements compared to the operational numerical weather prediction model used at SMHI, especially for forecasts up to three hours, where the largest influence from the radar advection occurs. In an objective validation of the structure, amplitude and location of modelled precipitation, where the forecasts are compared to radar observations, these findings are confirmed. The same validation of model runs over a longer time period also clearly indicates that the amplitude, structure and location of the precipitation patterns are significantly improved as compared to a short-range forecast from the operational forecast model used at SMHI. (C) 2010 Elsevier B.V. All rights reserved.

Keywords
Nowcasting, Radar, Advection, Variational data assimilation
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
urn:nbn:se:smhi:diva-521 (URN)10.1016/j.atmosres.2010.12.016 (DOI)000290501600007 ()
Available from: 2015-04-17 Created: 2015-04-15 Last updated: 2017-12-04Bibliographically approved
Rossa, A., Liechti, K., Zappa, M., Bruen, M., Germann, U., Haase, G., . . . Krahe, P. (2011). The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems. Atmospheric research, 100(2-3), 150-167
Open this publication in new window or tab >>The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems
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2011 (English)In: Atmospheric research, ISSN 0169-8095, E-ISSN 1873-2895, Vol. 100, no 2-3, p. 150-167Article, review/survey (Refereed) Published
Abstract [en]

Quantifying uncertainty in flood forecasting is a difficult task, given the multiple and strongly nonlinear model components involved in such a system. Much effort has been and is being invested in the quest of dealing with uncertain precipitation observations and forecasts and the propagation of such uncertainties through hydrological and hydraulic models predicting river discharges and risk for inundation. The COST 731 Action is one of these and constitutes a European initiative which deals with the quantification of forecast uncertainty in hydro-meteorological forecast systems. COST 731 addresses three major lines of development: (1) combining meteorological and hydrological models to form a forecast chain, (2) propagating uncertainty information through this chain and make it available to end users in a suitable form, (3) advancing high-resolution numerical weather prediction precipitation forecasts by using non-conventional observations from, for instance, radar to determine details in the initial conditions on scales smaller than what can be resolved by conventional observing systems. Recognizing the interdisciplinarity of the challenge COST 731 has organized its work forming Working Groups at the interfaces between the different scientific disciplines involved, i.e. between observation and atmospheric (and hydrological) modelling (WG-1), between atmospheric and hydrologic modelling (WG-2) and between hydrologic modelling and end-users (WG-3). This paper summarizes the COST 731 activities and its context, provides a review of the recent progress made in dealing with uncertainties in flood forecasting, and sets the scene for the papers of this Thematic Issue. In particular, a bibliometric analysis highlights the strong recent increase in addressing the uncertainty analysis in flood forecasting from an integrated perspective. Such a perspective necessarily involves the area of meteorology, hydrology, and decision making in order to take operational advantage of the scientific progress, an aspect in which COST 731 is successfully contributing to furthering the flood damage mitigation capabilities in Europe. (C) 2010 Elsevier B.V. All rights reserved.

Keywords
Uncertainty, Flood forecasting, Radar, NWP, EPS, COST, MAP D-PHASE
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology; Remote sensing
Identifiers
urn:nbn:se:smhi:diva-524 (URN)10.1016/j.atmosres.2010.11.016 (DOI)000290501600002 ()
Available from: 2015-04-17 Created: 2015-04-15 Last updated: 2017-12-04Bibliographically approved
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