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opencc-by-4.0Apr 2024View details →

Using neural networks to predict hurricane storm surge and to assess the sensitivity of surge to storm characteristics.

Data for "Lockwood, J. W., Lin, N., Oppenheimer, M., & Lai, C.-Y. (2022). Using neural networks to predict hurricane storm surge and to assess the sensitivity of surge to storm characteristics. Journal of Geophysical Research: Atmospheres, 127, e2022JD037617. https://doi.org/10.1029/2022JD037617"

opencc-by-4.0Nov 2021View details →

Waze Virtual Emergency Operations Center - Hurricane Harvey Reports

Responses from the Waze Virtual Emergency Operations Center (VEOC) for Hurricane Harvey.  These records give detail on reported flooding during Hurricane Harvey, gathered as volunteered geographic information.  The data is based on Waze driver reports, local news, storm watchers, and other official sources.

Fig. 10 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico

Fig. 10. Comparison of the relative abundance, measured as the number of adult Eleutherodactylus coqui observed per sampling night in the experimental transect where artificial coqui houses were made available, versus the control.

Fig. 6 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico

Fig. 6. Variation in operative temperatures measured by frog agar models in typical forest microhabitats after Hurricane Maria, showing a significant decrease during the cool-dry season (in blue) during midday (A), and nighttime (B).

Fig. 8 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico

Fig. 8. Bar graphs showing coqui house occupancy rate by Eleutherodactylus coqui during the length of this study by daytime (A), and by nighttime (B) surveys. The shaded area in (A) denotes sampling in months during the cool-dry season.

Fig. 7 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico

Fig. 7. Box plots showing variation in forest microhabitat temperature by day (A) and night (B) during the cool-dry season (February) of 2015 (a non-hurricane year), and in 2019, 17 months after Hurricane Maria hit Puerto Rico.

Fig. 5 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico

Fig. 5. Drastic changes in temperature at the transects in the Palo Colorado forest of El Yunque as a consequence of Hurricane Maria. (A) Ambient temperatures registered by HOBO data logger in the forest understory before, during, and shortly after Hurricane Maria. (B–C) Box plots showing variation in forest microhabitat temperature by day and at night during the month of September in 2015 (a non-hurricane year), and in 2017, the year that Hurricane Maria hit Puerto Rico.

Fig. 2 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico

Fig. 2. Change in forest structure in the Palo Colorado forest transect (El Yunque) due to Hurricane Maria and corresponding damage/recovery stages according to Table 1. (A) Before the hurricane. (B) Same site after the hurricane, stage 1. (C) Moderate recuperation, stage 3. (D–E) Canopy dominated by Sierra Palm fronds showing signs of further recuperation of original understory vegetation, stage 4.

Fig. 9 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico

Fig. 9. Different uses ascribed to the two types of artificial habitats (=coqui houses) placed in the forest. (A) Coqui frog using bamboo house as retreat site during the day. (B) Bamboo house used as nesting site with a double clutch. Note that eggs are observed but the guarding male jumped away as the photo was taken. (C) PVC house used by a coqui as a nocturnal perching site. (D) PVC house used by a coqui as a calling site during the night.

Fig. 1 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico

Fig. 1. Map showing the location of El Yunque National Forest in Puerto Rico, and the location of the study transects.

opencc-by-4.0Jun 2024View details →

Trophic state resilience to hurricane disturbance of Lake Yojoa, Honduras (DATA)

Datasets for manuscript entitled "Trophic state resilience to hurricane disturbance of Lake Yojoa, Honduras" Abstract: Cyclones are a poorly described disturbance in tropical lakes, with the potential to alter ecosystems and compromise the services they provide. In November 2020, Hurricanes Eta and Iota made landfall near the Nicaragua-Honduras border, inundating the region with a large amount of late-season precipitation. To understand the impact of these storms on Lake Yojoa, Honduras, we compared 2020 and 2021 conditions using continuous (every 16 days) data collected from five pelagic locations. The storms resulted in increased Secchi depth and decreased algal abundance in December 2020, and January and February 2021, and lower-than-average accumulation of hypolimnetic nutrients from the onset of stratification (April 2021) until mixus in November 2021. Despite the reduced hypolimnetic nutrient concentrations, epilimnetic nutrient concentrations returned to (and in some cases exceeded) pre-hurricane levels following annual water column turnover in 2021. This response suggests that Lake Yojoa’s trophic state had only an ephemeral response to the disturbance imposed by the two hurricanes, likely due to internal input of sediment derived nutrients. These aseasonal storms acted as a large-scale experiment that resulted in nutrient dilution and demonstrated the resilience of Lake Yojoa’s trophic state to temporary nutrient reductions.

opencc-by-4.0Jul 2024View details →

Data from: Geomorphological signatures of known hurricanes and validation of theoretical emplacement formulations: coastal boulder deposits on Cuban low-lying marine terraces

Here we show the models made from SfM photogrammetry for 5 boulders found on the Cuban island emplaced by three hurricanes on the low marine terrace. To generate a 3D-scaled SfM point cloud of each studied boulder, we adapted an easy SfM workflow using Agisoft Metashape software (version 1.7.2). We surveyed each CBD obtaining pictures between 0.5 m - 3 m distance from the boulder and also climbing on the boulder to maximise the diversity of picture angles. The survey was carried over a time lapse of ~30 minutes and under cloudy conditions to avoid shadows created by direct sunlight. For scaling SfM results and assessing the quality of measurements, we used six wooden balls as photogrammetric targets. The diameter of the balls is 30 ± 0.2 x 10-3 m, as verified by repeated caliper measurements. We complemented these targets with two 70 x 10 cm wooden scales. All these targets were used as reference scale bars to correct the spherical distortion inherent to the camera optics and perform an auto-calibration. We further used these targets to check possible distortion after post processing and the generation of the resulting 3D model. In order to create a point cloud and a solid volume, we followed the software workflow: we first aligned the images to identify tiepoints, which were then used in bundle adjustment to compute the 3D dense clouds in a second step.

opencc-by-4.0Jul 2024View details →

WRF Model Output for the 3 km grid of the Hurricane Nature Run, days 08-01-2005 to 08-03-2005

This is WRF model output for the Hurricane Nature Run presented in Nolan et al. (2013). The tar file contains gzipped netcdf files each with 6 model outputs at 30 minute intervals.

opencc-by-4.0Jul 2024View details →

WRF Model Output for the 3 km grid of the Hurricane Nature Run, days 08-01-2005 to 08-03-2005

This is WRF model output for the Hurricane Nature Run presented in Nolan et al. (2013). The tar file contains gzipped netcdf files each with 6 model outputs at 30 minute intervals.

opencc-by-4.0May 2019View details →

SMART Radar Dataset during Hurricane Harvey (2017)

This dataset contains the mobile, ground-based Shared Mobile Atmospheric Research and Teaching (SMART) radar 2 dataset during the landfall of Hurricane Harvey (25-26 August 2017). The nearby United States Weather Surveillance Radar - 1988 Doppler (WSR-88D) in Corpus Christi, TX, USA was used to perform dual-Doppler analyses with SMART radar 2 to retrieve three-dimensional winds during Harvey's landfall. Included in this dataset are preliminary quality-controlled and dealiased Doppler velocity radar data, final quality-controlled and dealiased Doppler winds for volumes contributing to dual-Doppler analysis, unmodified dual-polarization moments from both radars, and dual-Doppler wind retrievals. Version 2 of this archive contains the various radar and dual-Doppler datasets separated into individual tar.gz files for easier downloading and access. Proper readme files are included in each .tar.gz archive. Citation: Alford, A. A., M. I. Biggerstaff, and G. D. Carrie, 2019: Mobile ground-based SMART radar observations and wind retrievals during the landfall of Hurricane Harvey (2017). Geoscience Data Journal. DOI: 10.1002/gdj3.82.

opencc-by-4.0Oct 2019View details →

Data for "Transition of the hurricane boundary layer during the landfall of Hurricane Irene (2011)"

This archive contains Shared Mobile Atmospheric Research and Teaching (SMART) radar data during the landfall of Hurricane Irene (2011). The data here are presented in cfradial format delineated into individual volumes for use in wind retrievals. Please refer to the included readme_sr2.txt file for information on the data contained in the volumes. Two range height indicators (RHIs) are also included in the archive with data description in the readme_sr2.txt file. The Rapid Scanning X-Band Polarimetric (RaXPol) radar from the University of Oklahoma also collected data sufficient to produce velocity-azimuth display (VAD) boundary layer profiles. The processed VADs are contained in python .npy format. Please see the readme_raxpol.txt file for information. This dataset is assocaited with the following submission, which is currently under review: Alford, A. A., J. A. Zhang, M. I. Biggerstaff, P. Dodge, F. D. Marks, and David J. Bodine, 2020: Transition of the hurricane boundary layer during the landfall of Hurricane Irene (2011). Journal of the Atmospheric Sciences, in review. At the time of publicaiton, the citation will be updated to reflect the proper DOI reference.

Fig. 4 in Body size differentiation in selected carabid species inhabiting Puszcza Piska forest stands disturbed by the hurricane

Fig. 4. The differences between the mean body length and the median value of body length for Pterostichus niger individuals inhabiting post-hurricane (Pisz) and control (Maskulińskie) stands in years 2003-2007.

Fig. 6 in Body size differentiation in selected carabid species inhabiting Puszcza Piska forest stands disturbed by the hurricane

Fig. 6. The differences between the mean body length and the median value of body length for Carabus violaceus individuals inhabiting post-hurricane (Pisz) and control (Maskulińskie) stands in years 2003-2007.

Fig. 5 in Body size differentiation in selected carabid species inhabiting Puszcza Piska forest stands disturbed by the hurricane

Fig. 5. The mean body length for Carabus violaceus individuals inhabiting post-hurricane (Pisz) and control (Maskulińskie) stands in years 2003-2007.

Fig. 3 in Body size differentiation in selected carabid species inhabiting Puszcza Piska forest stands disturbed by the hurricane

Fig. 3. The mean body length for Pterostichus niger individuals inhabiting post-hurricane (Pisz) and control (Maskulińskie) stands in years 2003-2007.