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Codes and model output supporting Analysis of the Evolution of Parametric Drivers of High-End Sea-Level Hazards
<p>Codes and model output supporting Analysis of the Evolution of Parametric Drivers of High-End Sea-Level Hazards (Advances in Statistical Climatology, Meteorology and Oceanography, May 2022)</p>
Extreme sea level rise along the Indian Ocean coastline: Observations and 21st century projections
<p>This file include all the data sets used to make the figures in the paper " <strong><em>Extreme sea level rise along the Indian Ocean coastline: Observations and 21<sup>st</sup> century projections</em></strong> "</p>
Coastal extreme sea levels in the Caribbean Sea induced by tropical cyclones
<p>Previous version contained the return levels of coastal significant wave height and sea surface elevation along the Caribbean coastlines corresponding to the periods of 10, 50, 100, 200 and 500 years. The return periods have been computed fitting a Generalised Pareto Distribution to a set of hydrodynamic-wave coupled ocean simulations forced with 1000 synthetic tropical cyclones. See the paper Martin et al (under review) for details. </p> <p> The file (Return_levels.mat) contains a Matlab table (with header names) indicating latitude, longitude and the return levels described above, named as Hs (significant wave height) and SSE (sea surface elevation). </p> <p>Three other datasets have been included, with the subsample of the Tropical Cyclones selected for the study (Subsample.mat), the geographic data of the coastal grid points used for our analysis (Coastaline.mat), and finally a dataset with the results of the analysis presented in the paper (Results_4_runs.mat). All datasets are provided in a .mat file, generated using Matlab. </p> <p>First dataset contains a Matlab table (with header names) indicating latitude and longitude, radius of maximum wind speed, minimum pressure and maximum wind speed a long the track of the Tropical Cyclone, for the 1000 samples selected. </p> <p>Second dataset provides both Latitude and Longitude of the coastal grid points used for the analysis. </p> <p>The last dataset contains a Matlab table (with header names) where the first column represents the Tropical Cyclone, columns 2,3 and 4 contain the maximum of sea surface elevation (SSE) during the lifetime of the Tropical Cyclone for each coastal point, for the 3 decoupled runs, wind-forced only, pressure-forced only and wind and pressure respectively. The next 4 columns contain the values of the variables for the coupled simulations with WWM-III, maximum significant wave height (Hs), maximum SSE, median of Peak Direction (Dp) and median of Peak period (Tp). All these variables contain a description in the dataset as variable information, and are provided for all coastal points of our grid. </p>
Text-fig. 6. Shallowing pattern during the Middle Miocene to Late Miocene/Pliocene due to increasing magmatic activity as an external parameter. a: palaeobathymetry map during the Middle Miocene to Pliocene; b: sea level change curve indicating a shallowing pattern; c: relative changes of sea level and magmatic activity curve (Haq et al. 1987, Soeria-Atmadja et al. 1998, Muljana 2012). in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia
Text-fig. 6. Shallowing pattern during the Middle Miocene to Late Miocene/Pliocene due to increasing magmatic activity as an external parameter. a: palaeobathymetry map during the Middle Miocene to Pliocene; b: sea level change curve indicating a shallowing pattern; c: relative changes of sea level and magmatic activity curve (Haq et al. 1987, Soeria-Atmadja et al. 1998, Muljana 2012).
Data for publication "Committed sea-level rise under the Paris Agreement and the legacy of delayed mitigation action".
<p>Data underlying the publication "Committed sea-level rise under the Paris Agreement and the legacy of delayed mitigation action".</p> <p>Journal: Nature Communications</p> <p>Authors: <em>Matthias Mengel<sup>1*</sup></em><em>, Alexander Nauels</em><sup><em>2</em></sup><em>, Joeri Rogelj</em><sup><em>3,4</em></sup><em>, Carl-Friedrich Schleussner<sup>1,5</sup></em></p> <p>(1) Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany</p> <p>(2) Australian-German College of Climate & Energy Transitions, The University of Melbourne, Parkville, Victoria 3010, Australia</p> <p>(3) ENE Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg A-2361, Austria</p> <p>(4) Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, Zurich 8006, Switzerland</p> <p>(5) Climate Analytics, Ritterstr. 3, 10969 Berlin, Germany</p> <p>(*) email matthias.mengel@pik-potsdam.de</p> <p>Abstract:</p> <p>Sea-level rise is a major consequence of climate change that will continue long after emissions of greenhouse gases have stopped. The 2015 Paris Agreement aims at reducing climate-related risks by reducing greenhouse gas emissions to net zero and limiting global-mean temperature increase. Here we quantify the effect of these constraints on global sea-level rise until 2300 including Antarctic ice-sheet instabilities. We estimate median sea-level rise between 0.7 and 1.2m if net zero greenhouse gas emissions are sustained until 2300, varying with the pathway of emissions during this century. Temperature stabilization below 2°C is insufficient to hold median sea-level rise until 2300 below 1.5m. We find that each 5-year delay in near-term peaking of CO2 emissions increases median year-2300 sea-level rise estimates by ca. 0.2m, and extreme sea-level rise estimates at the 95th percentile by up to 1m. Our results underline the importance of near-term mitigation action for limiting long-term sea-level rise risks.</p> <p> </p> <p>Large zip files provides data. Small zip file python code for plotting and writing supplementary data.</p>
Рис. 1. Pararctia lapponica lemniscata (Stichel, 1911): 1–4 — имаго (1, 2 — самцы; 3, 4 — самки). Δанные сбора имаго: 1 — Буреинский заповеΑник, верховье р. Правая Бурея, 4 км В корΑона «Новый МеΑвежий», 1400 м наΑ уровнем моря, 24.06.2014; 2 — Буреинский заповеΑник, верховье р. Правая Бурея, окрестности корΑона «Новый МеΑвежий», 900 м наΑ уровнем моря; 4.07.2016; 3, 4 — там же, 29–30.06.2018 Fig. 1. Pararctia lapponica lemniscata (Stichel, 1911): 1 – 4 – adults (1, 2 – males; 3, 4 – females). Data labels for imago: 1 – Bureinsky Nature Reserve, upper reach of Pravaya Bureya River, 4 km E Novyi Medvezhii cordon, 1400 m above sea level, 24.06.2014; 2 – Bureinsky Nature Reserve, upper reach of Pravaya Bureya River, near Novyi Medvezhii cordon, 900 m above sea level, 4.07.2016; 3, 4 – at the same place, 29–30.06.2018 in On The Biology Of (Stichel, 1911) (Lepidoptera, Erebidae, Arctiinae) In Northern Amur Region
Рис. 1. Pararctia lapponica lemniscata (Stichel, 1911): 1–4 — имаго (1, 2 — самцы; 3, 4 — самки). Δанные сбора имаго: 1 — Буреинский заповеΑник, верховье р. Правая Бурея, 4 км В корΑона «Новый МеΑвежий», 1400 м наΑ уровнем моря, 24.06.2014; 2 — Буреинский заповеΑник, верховье р. Правая Бурея, окрестности корΑона «Новый МеΑвежий», 900 м наΑ уровнем моря; 4.07.2016; 3, 4 — там же, 29–30.06.2018 Fig. 1. Pararctia lapponica lemniscata (Stichel, 1911): 1 – 4 – adults (1, 2 – males; 3, 4 – females). Data labels for imago: 1 – Bureinsky Nature Reserve, upper reach of Pravaya Bureya River, 4 km E Novyi Medvezhii cordon, 1400 m above sea level, 24.06.2014; 2 – Bureinsky Nature Reserve, upper reach of Pravaya Bureya River, near Novyi Medvezhii cordon, 900 m above sea level, 4.07.2016; 3, 4 – at the same place, 29–30.06.2018
Monthly mass-term sea level variations used for "A Novel Slepian Approach for Determining Mass-term Sea Level from GRACE over the South China Sea"
<p>The dataset contains the monthly mass-term sea level variations in the South China Sea from 2005 to 2015. Five datasets were used to calculate the mass-term sea level variations: the GRACE Spherical Harmonics (noted SHC), the GRACE Mascon solutions (noted Mascon), the GRACE Slepian Function solutions (noted EST), ECCO Ocean botton pressure model (noted ECCO), and steric-corrected satellite altimetry dataset (noted AsS). Besides, the signal (with trend, seasonal and semi-seasonal information) and the residual mass-term sea level was given separately. </p> <p>The boundary of the South China Sea and the longtidue and latitude of the study area were also given. Please noted that the longitude and latitude of the steric-corrected satellite altimetry dataset was different from the other four.</p> <p>For further information about the Slepian function method, please refer to our released code:</p> <p>https://github.com/KMartin0013/Slepian_ocean_add-on.git</p> <p>If you use this dataset, please cite our work properly:</p> <p>Zhongtian, Ma, Hok Sum Fok, Robert Tenzer, Jianli Chen. A Novel Slepian Approach for Determining Mass-term Sea Level from GRACE over the South China Sea. <em>Int. J. Appl. Earth. Obs. Geoinf.</em>, 132, 104065, 2024. doi:<a title="https://doi.org/10.1016/j.jag.2024.104065" href="https://doi.org/10.1016/j.jag.2024.104065" rel="nofollow">https://doi.org/10.1016/j.jag.2024.104065</a></p>
FIGURE 10 in Palaeoecology and sea level changes: Decline of mammal species richness during late Quaternary island formation in the Montebello Islands, north-western Australia
FIGURE 10. Number of species identified from each spit in Morgan's Cave, illustrating the increasing loss of species from spits four to one.
FIGURE 9 in Palaeoecology and sea level changes: Decline of mammal species richness during late Quaternary island formation in the Montebello Islands, north-western Australia
FIGURE 9. Species-area plot for islands on the north-west continental shelf (filled circles) (data from Abbott and Burbidge, 1995), and spits one to seven in Morgan's Cave (open circles).
FIGURE 8 in Palaeoecology and sea level changes: Decline of mammal species richness during late Quaternary island formation in the Montebello Islands, north-western Australia
FIGURE 8. Log non-volant species vs log area plot for the north-west islands (filled circles) and the super-island at sea level 10 m below present (open circle).
FIGURE 6 in Palaeoecology and sea level changes: Decline of mammal species richness during late Quaternary island formation in the Montebello Islands, north-western Australia
FIGURE 6. Species accumulation curve for Morgan's Cave, showing increasing species with increased sampling effort (cumulative NISP). Further sampling effort could have yielded more species.
Variable vertical land motion for sea level rise projections
<h1><strong>Data for Govorcin et al., 2024: Variable vertical land motion for sea level rise projections [submitted for publication].</strong></h1> <p><strong>Disclaimer:</strong> Data is subject to change due to the review process.</p> <p><strong>Repository Contains:</strong></p> <ul> <li> <p><strong>Vertical Land Motion over California</strong></p> <ul> <li><strong>Reference:</strong> International Terrestrial Reference System, solution 2014 (ITRF2014)</li> <li><strong>Period:</strong> 2015-2023</li> <li><strong>Data Type:</strong> GeoTIFF</li> <li><strong>Unit:</strong> mm/yr</li> </ul> </li> <li> <p><strong>Vertical Land Motion (Propagated) Formal Uncertainties (Rates Std.) over California</strong></p> <ul> <li><strong>Reference:</strong> International Terrestrial Reference System, solution 2014 (ITRF2014)</li> <li><strong>Period:</strong> 2015-2023</li> <li><strong>Data Type:</strong> GeoTIFF</li> <li><strong>Unit:</strong> mm/yr</li> </ul> </li> <li> <p><strong>Vertical Land Motion Temporal Variability over California</strong></p> <ul> <li><strong>Period:</strong> 2015-2023</li> <li><strong>Data Type:</strong> GeoTIFF</li> <li><strong>Unit:</strong> mm/yr</li> </ul> </li> <li> <p><strong>Archive: Output HDF5 (Mintpy format) and GNSS Files</strong></p> <ul> <li>Includes <code>velocity.h5</code>, <code>geometry.h5</code>, <code>gnss_model</code>, <code>calibrated_velocity.h5</code>, <code>CA_3D_rates.h5</code>, and <code>temporal variability</code> per track and merged, projected to vertical. See <strong>README</strong> for more information.</li> </ul> </li> </ul> <h2>Citation:</h2> <p>If you use this data in your work, research or publication, please cite the following article:</p> <p>Govorcin, M. Bekaert, D., Hamlington, B., Sangha, S., Sweet, W. (2024). Variable Vertical Land Motion for Sea Level Rise Projections, 01 August 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-4676043/v1]</p> <h2>Acknowledgment</h2> <p>The research was conducted at the Jet Propulsion Laboratory, California Institute of Technology. This research was supported by the Observational Products for End-Users from Remote Sensing Analysis (OPERA) project (<a href="https://www.jpl.nasa.gov/go/opera" target="_blank" rel="noopener">https://www.jpl.nasa.gov/go/opera</a>), managed by the Jet Propulsion Laboratory and funded by the Satellite Needs Working Group, that is creating remote sensing products to address Earth observation needs across U.S. civilian federal agencies.</p>
Figure 5 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea
Figure 5. Location of 34 descending tracks of satellites ERS-1 (phases C and G), ERS-2 and ENVISAT, which were used to analyze the position of the sea ice edge in the Barents Sea. The red line is the average climatic position of the sea ice edge. The green line shows the position of track N444, the purple line shows the track N360. Dashed line is a reference line used for calculation the distance to the ice edge along the tracks.
Figure 6 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea
Figure 6. Interannual variability of the position of the ice edge along track N118 according to altimetry measurements of the ERS − 1/2, ENVISAT and SARAL/AltiKA satellites in 1992-2018. Dashed line shows a linear trend for the variability of the distance to the sea ice edge in the Barents Sea.
Figure 4 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea
Figure 4. Interannual variability of the Barents Sea level anomalies according to satellite altimetry measurements of the ERS − 1/2, ENVISAT and SARAL/AltiKa for the period 1992–2018 for June, July, August and September. Dashed lines show linear trends.
Figure 2 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea
Figure 2. The position of the tracks of the ERS − 1/2, ENVISAT and SARAL/AltiKA (a) satellites with a repetition period of 35 days and the Sentinel – 3A / 3B satellites (b) with a repetition period of 27 days in the Barents Sea.
Figure 3 in Satellite Altimetry of Sea Level and Ice Cover in the Barents Sea
Figure 3. Interannual variability of the Barents Sea level anomalies according to satellite altimetry measurements of the ERS − 1/2, ENVISAT and SARAL/AltiKa for the period 1992 –2018. Dashed line shows a linear trend.
Figure 4 in Climate Changes of the Temperature of the Surface and Level of the Black Sea by the Data of Remote Sensing at the Coast of the Krasnodar Krai and the Republic of Abkhazia
Figure 4. Spatial variability of the climatic rate of the Black Sea level change (cm/yr) for period from 1993 to 2015.
Рис. 3. Platarctia ornata: 1–4 — имаго, виΑ сверху (1, 2 — самцы; 3, 4 — самки); 5–10 — гусеницы сеΑьмого возраста (5, 6 — форма с черными и рыжими воΛосками; 7, 8 — форма с рыжими воΛосками; 9, 10 — форма с черными воΛосками); 11 — кокон; 12–14 — кукоΛка; 15 — неΑавно отроΑившийся самец. 5, 7, 9, 13 — виΑ сбоку; 6, 8, 10, 14 — виΑ сверху; 12 — виΑ снизу. Δанные сбора имаго: 1 — Буреинский заповеΑник, 4 км В корΑона «Новый МеΑвежий», 1400 м наΑ ур. м., 24.06.2014; 2, 3 — Буреинский заповеΑник, корΑон «Новый МеΑвежий», ex pupa 12–13.09.2018; 4 — там же, 4.07.2018 Fig. 3. Platarctia ornata: 1–4 — imago, dorsal view (1, 2 — males; 3, 4 — females); 5–10 — seventh instar larvae (5, 6 — with black and red hairs; 7, 8 — with red hairs; 9, 10 — with black hairs only); 11 — cocoon; 12–14 — pupа; 15 — newly emerged male. 5, 7, 9, 13 — lateral view; 6, 8, 10, 14 — dorsal view; 12 — ventral view. Data labels for imago insects: 1 — Bureinsky State Nature Reserve, 4 km E Novyi Medvezhii cordon, 1400 m above sea level, 24.06.2014; 2, 3 — Bureinsky State Nature Reserve, Novyi Medvezhii cordon, ex pupa 12–13.09.2018; 4 — same location, 4.07.2018 in Moths (Lepidoptera, Macroheterocera, Excluding Geometridae And Noctuidae S.L.) Of The Bureinsky State Nature Reserve And Adjacent Territories (Khabarovsk Krai, Russia)
Рис. 3. Platarctia ornata: 1–4 — имаго, виΑ сверху (1, 2 — самцы; 3, 4 — самки); 5–10 — гусеницы сеΑьмого возраста (5, 6 — форма с черными и рыжими воΛосками; 7, 8 — форма с рыжими воΛосками; 9, 10 — форма с черными воΛосками); 11 — кокон; 12–14 — кукоΛка; 15 — неΑавно отроΑившийся самец. 5, 7, 9, 13 — виΑ сбоку; 6, 8, 10, 14 — виΑ сверху; 12 — виΑ снизу. Δанные сбора имаго: 1 — Буреинский заповеΑник, 4 км В корΑона «Новый МеΑвежий», 1400 м наΑ ур. м., 24.06.2014; 2, 3 — Буреинский заповеΑник, корΑон «Новый МеΑвежий», ex pupa 12–13.09.2018; 4 — там же, 4.07.2018 Fig. 3. Platarctia ornata: 1–4 — imago, dorsal view (1, 2 — males; 3, 4 — females); 5–10 — seventh instar larvae (5, 6 — with black and red hairs; 7, 8 — with red hairs; 9, 10 — with black hairs only); 11 — cocoon; 12–14 — pupа; 15 — newly emerged male. 5, 7, 9, 13 — lateral view; 6, 8, 10, 14 — dorsal view; 12 — ventral view. Data labels for imago insects: 1 — Bureinsky State Nature Reserve, 4 km E Novyi Medvezhii cordon, 1400 m above sea level, 24.06.2014; 2, 3 — Bureinsky State Nature Reserve, Novyi Medvezhii cordon, ex pupa 12–13.09.2018; 4 — same location, 4.07.2018
Fig. 2. Giardia duodenalis 18S in Giardia duodenalis and Cryptosporidium occurrence in Australian sea lions (Neophoca cinerea) exposed to varied levels of human interaction
Fig. 2. Giardia duodenalis 18S rRNA phylogenetic tree. Phylogenetic analysis of Giardia duodenalis positive samples was performed using a fragment of 18S rRNA gene. Analysis within the phylogenetic framework placed sea lion samples within the assemblage B (n = 27) and assemblage A clades (n = 1). Branch values indicate percent bootstrapping using 1000 replicates.
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