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To understand drought processes, multiple perspectives need to be considered. Extreme droughts remain undetected if only one data type is used. Long-term data uncovers extreme events in the 19th century. METHODS RESULTS This study developed a multidisciplinary long-term dataset of drought indices and impact records in southwestern Germany for the time period between 1800 and 2018. It is based on meteorological data, streamflow records and tree-ring data as well as reported information on drought impacts. Drought events were classified into moderate, severe and extreme events based on each datatype separately, leading to a regional drought catalogue. CONCLUSION Droughts affect both environmental and anthro- pogenic systems in complex ways. Using a multidisciplinary dataset helped to improve the understanding about interactions between the different drought characteristics. The drought catalogue provides valuable information on long-term drought occurrence in southwestern Germany and uncovers extreme drought clusters in the 19th century. The pool of worst case droughts, identified from different perspectives, can be used to inform future drought planning. Mathilde Erfurt (1,4) , G. Skiadaresis (2) , E. Tijdeman (3) , V. Blauhut (4) J. Bauhus (2) , R. Glaser (1) , J. Schwarz (2) , W. Tegel (5) , K. Stahl (4) A multivariate Drought Catalogue - For Southwestern Germany dating back to 1801 (1) Physical Geography, Faculty of Environment and Natural Resources, University of Freiburg, Germany [email protected] (2) Silviculture, Faculty of Environment and Natural Resources, University of Freiburg, Germany (3) Geography, Faculty of Chemistry and Earth Sciences, University of Heidelberg (4) Environmental Hydrological Systems, Faculty of Environment and Natural Resources, University of Freiburg, Germany (5) Forest Growth and Dendroecology, Faculty of Environment and Natural Resources, University of Freiburg, Germany *Discussion Paper (in review): Exploring the added value of a long-term multidisciplinary dataset in drought research – a drought catalogue for southwestern Germany dating back to 1801, Natural Hazards and Earth System Sciences Discussions, 1–26, https://doi.org/10.5194/nhess-2019-424 Within this catalogue, 22 extreme drought events were identified as common events among different archives and data types. Ranking the ten most severe droughts per indicator uncovers extreme events in the 19th century. However the development of drought frequency and severity over the last two centuries highlights an intensification of drought events in the 21st century. Conceptual overview of the multi-variable dataset and variables used in this study.* Annual time series showing the fraction of indices in drought (different severities) with a 5 year backward smoothing window.* (b) (a) The Drought Catalogue*: (a) Annual time series of drought occurrence in southwestern Germany according to diffe- rent groups of indices, blue boxes highlight particular dry years; (b) the percentage of indices indicating droughts (Legend see Methods).

To understand drought processes, multiple METHODS ...€¦ · long-term drought occurrence in southwestern Germany and uncovers extreme drought clusters in the 19th century. The pool

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Page 1: To understand drought processes, multiple METHODS ...€¦ · long-term drought occurrence in southwestern Germany and uncovers extreme drought clusters in the 19th century. The pool

To understand drought processes, multiple perspectives need to be considered. Extreme droughts remain undetected if only one data type is used. Long-term data uncovers extreme events in the 19th century.

METHODS

RESULTS

This study developed a multidisciplinary long-term dataset of drought indices and impact records in southwestern Germany for the time period between 1800 and 2018. It is based on meteorological data, streamflow records and tree-ring data as well as reported information on drought impacts.Drought events were classified into moderate, severe and extreme events based on each datatype separately, leading to a regional drought catalogue.

CONCLUSIONDroughts affect both environmental and anthro- pogenic systems in complex ways. Using a multidisciplinary dataset helped to improve the understanding about interactions between the different drought characteristics. The drought catalogue provides valuable information on long-term drought occurrence in southwesternGermany and uncovers extreme drought clusters in the 19th century. The pool of worst case droughts, identified from different perspectives, can be used to inform future drought planning.

Mathilde Erfurt (1,4), G. Skiadaresis (2), E. Tijdeman (3), V. Blauhut (4)

J. Bauhus (2), R. Glaser (1), J. Schwarz (2), W. Tegel (5), K. Stahl(4)

A multivariate Drought Catalogue - For Southwestern Germany dating back to 1801

(1) Physical Geography, Faculty of Environment and Natural Resources, University of Freiburg, Germany [email protected]

(2) Silviculture, Faculty of Environment and Natural Resources, University of Freiburg, Germany(3) Geography, Faculty of Chemistry and Earth Sciences, University of Heidelberg(4) Environmental Hydrological Systems, Faculty of Environment and Natural Resources, University of Freiburg, Germany(5) Forest Growth and Dendroecology, Faculty of Environment and Natural Resources, University of Freiburg, Germany

*Discussion Paper (in review): Exploring the added value of a long-term multidisciplinary dataset in drought research – a drought catalogue for southwestern Germany dating back to 1801, Natural Hazards and Earth System Sciences Discussions, 1–26, https://doi.org/10.5194/nhess-2019-424

Within this catalogue, 22 extreme drought events were identified as common events among different archives and data types. Ranking the ten most severe droughts per indicator uncovers extreme events in the 19th century. However the development of drought frequency and severity over the last two centuries highlights an intensification of drought events in the 21st century.

Conceptual overview of the multi-variable dataset and variables used in this study.*

Annual time series showing the fraction of indices in drought (different severities) with a 5 year backward smoothing window.*

(b)

(a)

The Drought Catalogue*: (a) Annual time series of drought occurrence in southwestern Germany according to diffe-rent groups of indices, blue boxes highlight particular dry years; (b) the percentage of indices indicating droughts (Legend see Methods).