Dataset belonging to the Master thesis: The maximum wind effect on wave overtopping at dikes with crest elements

Physical model tests were performed and the data was used to investigate the maximum wind effect on wave overtopping at dikes with crest elements.</p

Dataset belonging to the Master thesis: The maximum wind effect on wave overtopping at dikes with crest elements

Physical model tests were performed and the data was used to investigate the maximum wind effect on wave overtopping at dikes with crest elements.</p

Data about radar rainfall nowcasts of 80 high-intensity rainfall in 5 cities in the Netherlands from 2008 to 2021

&nbsp;&nbsp;This repository contains the radar rainfall nowcasts for 80 high-intensity rainfall events spread over 5 urban areas (Amsterdam, the Hague, Groningen, Maastricht, and Eindhoven) in the Netherlands.&nbsp;Rainfall events chosen criteria:&nbsp;The high-intensity events were selected for each municipality by using RadarTools (http://radartools.nl). RadarTools can list the rainfall events based on the highest climatological rainfall accumulation at any 1-km2 grid cell within each municipality in the Netherlands since 2008. RadarTools sets different thresholds to select rainfall events of different periods. For example, the selection criteria for 1-h period is that the precipitation sum in any grid cell is above 15 mm. For 24-h period, the threshold is 30 mm. Rainfall is not necessarily continuous during the period. We selected the eight highest 1-h and eight highest 24-h events in each of the 5 municipalities from 2008 to 2021. When selecting the 24-h events, the events that covered the period of the previously selected 1-h events were excluded per urban area to ensure independence of the events. This selection procedure led to 5 (cities) × 2 (durations) × 8 (events) = 80 events.&nbsp;Nowcasts:&nbsp;For every five-minute time step in each of the events, a probabilistic nowcast was made by pySTEPS (v0.2 used) libraries (Ayzel et al., 2019; Pulkkinen et al., 2019).&nbsp;We used the same Pysteps setup as in Imhoff et al. (2020, https://doi.org/10.1029/2019WR026723), which consisted of the STEPS (short-term ensemble prediction system) nowcasting method using a semi-Lagrangian advection method and the Lucas‐Kanade optical flow method (using the QPE from time t-3 to t). An autoregressive model of order 2 and 8 cascade levels was used.&nbsp;All nowcasts have a time step of 5 min and a forecast horizon of 4 hours. Nowcasts are first run with real-time QPE from Royal Netherlands Meteorological Institute (https://dataplatform.knmi.nl/dataset/nl-rdr-data-rtcor-5m-1-0). The 1-h events before 2020 are also run with climatological (https://dataplatform.knmi.nl/dataset/rad-nl25-rac-mfbs-em-5min-netcdf4-2-0) and CARROTS-adjusted QPE (https://doi.org/10.4121/13573814). Hence, in total, there are 9,060 separate norecasts (each with 4-hour forecast horizon and 20 ensemble members).&nbsp;The nowcasts are saved as netCDF files in folders with the following structure: event duration (1 or 24 hrs) and QPE products used (realtime, CARROTS, or climatological) &gt; city name &gt; event folder &gt; individual nowcasts. The filenames of the event folder indicate the onsets of the high-intensity rainfall events in UTC. The filenames of nowcasts indicate the issue time of the nowcasts in UTC.</p

Data about radar rainfall nowcasts of 80 high-intensity rainfall in 5 cities in the Netherlands from 2008 to 2021

&nbsp;&nbsp;This repository contains the radar rainfall nowcasts for 80 high-intensity rainfall events spread over 5 urban areas (Amsterdam, the Hague, Groningen, Maastricht, and Eindhoven) in the Netherlands.&nbsp;Rainfall events chosen criteria:&nbsp;The high-intensity events were selected for each municipality by using RadarTools (http://radartools.nl). RadarTools can list the rainfall events based on the highest climatological rainfall accumulation at any 1-km2 grid cell within each municipality in the Netherlands since 2008. RadarTools sets different thresholds to select rainfall events of different periods. For example, the selection criteria for 1-h period is that the precipitation sum in any grid cell is above 15 mm. For 24-h period, the threshold is 30 mm. Rainfall is not necessarily continuous during the period. We selected the eight highest 1-h and eight highest 24-h events in each of the 5 municipalities from 2008 to 2021. When selecting the 24-h events, the events that covered the period of the previously selected 1-h events were excluded per urban area to ensure independence of the events. This selection procedure led to 5 (cities) × 2 (durations) × 8 (events) = 80 events.&nbsp;Nowcasts:&nbsp;For every five-minute time step in each of the events, a probabilistic nowcast was made by pySTEPS (v0.2 used) libraries (Ayzel et al., 2019; Pulkkinen et al., 2019).&nbsp;We used the same Pysteps setup as in Imhoff et al. (2020, https://doi.org/10.1029/2019WR026723), which consisted of the STEPS (short-term ensemble prediction system) nowcasting method using a semi-Lagrangian advection method and the Lucas‐Kanade optical flow method (using the QPE from time t-3 to t). An autoregressive model of order 2 and 8 cascade levels was used.&nbsp;All nowcasts have a time step of 5 min and a forecast horizon of 4 hours. Nowcasts are first run with real-time QPE from Royal Netherlands Meteorological Institute (https://dataplatform.knmi.nl/dataset/nl-rdr-data-rtcor-5m-1-0). The 1-h events before 2020 are also run with climatological (https://dataplatform.knmi.nl/dataset/rad-nl25-rac-mfbs-em-5min-netcdf4-2-0) and CARROTS-adjusted QPE (https://doi.org/10.4121/13573814). Hence, in total, there are 9,060 separate norecasts (each with 4-hour forecast horizon and 20 ensemble members).&nbsp;The nowcasts are saved as netCDF files in folders with the following structure: event duration (1 or 24 hrs) and QPE products used (realtime, CARROTS, or climatological) &gt; city name &gt; event folder &gt; individual nowcasts. The filenames of the event folder indicate the onsets of the high-intensity rainfall events in UTC. The filenames of nowcasts indicate the issue time of the nowcasts in UTC.</p

Dataset of Cone Penetration Tests (CPTs) to study soil heterogeneity

The research involves site investigations at three locations along the drainage canal “Achterwaterschap” in the western part of the Alblasserwaard region in the Netherlands. This area is part of the administration of Waterschap Rivierenland (WSRL). The site investigations are performed at the dike posts AC 075, AC 090 and AC 251. The in situ tests are performed in the inner toe of the dike.  The research has been carried out for Rijkswaterstaat WVL. Rijkswaterstaat is part of the Dutch Ministry of Infrastructure and Water Management and responsible for the design, construction, management and maintenance of the main infrastructure facilities in the Netherlands. Rijkswaterstaat has given consent for making this dataset publicly available. The dataset includes a total of 60 CPTs at close distance, spreaded over three different sites. The sites are located at 1.5 km distance (AC075 and AC090) and 15 km distance (AC251). The dataset is described in the following reports. Please refer to these reports, and refer to the DOI of this dataset when using. [Deltares, 2019] Van Duinen, T.A. (2019) Variability of the cone penetration resistance. Deltares report 11202225-005-GEO-0013. https://puc.overheid.nl/doc/PUC_660096_31 [Van Duinen, 2019] Van Duinen, T.A. (2019) Variability and accuracy of shear strength measurements in soft soils. Master Thesis Utrecht University. https://studenttheses.uu.nl/handle/20.500.12932/32852</p

Dataset of Cone Penetration Tests (CPTs) to study soil heterogeneity

The research involves site investigations at three locations along the drainage canal “Achterwaterschap” in the western part of the Alblasserwaard region in the Netherlands. This area is part of the administration of Waterschap Rivierenland (WSRL). The site investigations are performed at the dike posts AC 075, AC 090 and AC 251. The in situ tests are performed in the inner toe of the dike.  The research has been carried out for Rijkswaterstaat WVL. Rijkswaterstaat is part of the Dutch Ministry of Infrastructure and Water Management and responsible for the design, construction, management and maintenance of the main infrastructure facilities in the Netherlands. Rijkswaterstaat has given consent for making this dataset publicly available. The dataset includes a total of 60 CPTs at close distance, spreaded over three different sites. The sites are located at 1.5 km distance (AC075 and AC090) and 15 km distance (AC251). The dataset is described in the following reports. Please refer to these reports, and refer to the DOI of this dataset when using. [Deltares, 2019] Van Duinen, T.A. (2019) Variability of the cone penetration resistance. Deltares report 11202225-005-GEO-0013. https://puc.overheid.nl/doc/PUC_660096_31 [Van Duinen, 2019] Van Duinen, T.A. (2019) Variability and accuracy of shear strength measurements in soft soils. Master Thesis Utrecht University. https://studenttheses.uu.nl/handle/20.500.12932/32852</p

Data underlying the MSc thesis: Stability of rock on mild slopes

Data of the research on the stability of rock on mild slopes under wave attack. Data is obtained by physical model tests for a 1:8 (Van Wijland, 2020) and 1:10 slope (Mossinkoff, 2019). Reference to report of Mossinkoff (2019) for the research of the 1:10 slope: http://resolver.tudelft.nl/uuid:37a20ee8-8bd6-456f-9148-f7520895b908Reference to report of Van Wijland (2020) for the research of the 1:8 slope (and re-analysis of the 1:10 slope of Mossinkoff (2019)): http://resolver.tudelft.nl/uuid:b1438a6d-6814-49a1-8798-4082ac01da16</div

Data underlying the MSc thesis: Stability of rock on mild slopes

Data of the research on the stability of rock on mild slopes under wave attack. Data is obtained by physical model tests for a 1:8 (Van Wijland, 2020) and 1:10 slope (Mossinkoff, 2019). Reference to report of Mossinkoff (2019) for the research of the 1:10 slope: http://resolver.tudelft.nl/uuid:37a20ee8-8bd6-456f-9148-f7520895b908Reference to report of Van Wijland (2020) for the research of the 1:8 slope (and re-analysis of the 1:10 slope of Mossinkoff (2019)): http://resolver.tudelft.nl/uuid:b1438a6d-6814-49a1-8798-4082ac01da16</div

Data and scripts of the analysis of ecological effects of MSC Zoe

This is the set of data and scripts underlying the statistical analysis of environmental effects of the MSC Zoe incident in Dutch coastal waters in January 2019. The dataset is self-contained as it is composed of the basic data, the scripts and the markdown documents that generate the report. <br

Data and scripts of the analysis of ecological effects of MSC Zoe

This is the set of data and scripts underlying the statistical analysis of environmental effects of the MSC Zoe incident in Dutch coastal waters in January 2019. The dataset is self-contained as it is composed of the basic data, the scripts and the markdown documents that generate the report. <br