23 research outputs found
Simulation outputs of DynSoM model and instrumental data for Samoylov Island's polygonal tundra
No full textThese datasets include the observational data and the Dynamic Soil Model (DynSoM) outputs of a polygonal tundra artic environment located in the quaternary sediments of Samoylov island. the data is gathered (SamValidation.mat) and simulated at the centre (output_center.mat) and rim (output_rim.mat) of one of the polygons, which correspond to wet and dry tundra conditions respectively. This dataset Is used as a primary data output for the figures of the article "Mechanistic Modelling of Segregated Ice and Soil Heave Dynamics in Artic Soils" by Xavier Rodriguez-Lloveras, Melanie A. Thurner Philipp Porada & Christian Beer, Universität Hamburg. Submitted to "The Journal of Advances in Modeling Earth Systems (JAMES)" on February 2023.
The datasets are published as MATLAB matrix format and require adequate MATLAB (or equivalent) software for visualization.
The validation data (SamValidation.mat) is a subset of the data published by Boike et al. (2019, doi:10.1594/PANGAEA.905236) adapted to the DynSoM model requirements
Dynamic Soil Model figures for Samoylov Island
No full textThis program plots the figures of the article "Mechanistic Modelling of Segregated Ice and Soil Heave Dynamics in Artic Soils" by Xavier Rodriguez-Lloveras, Melanie A. Thurner Philipp Porada & Christian Beer, Universität Hamburg. Submitted to "The Journal of Advances in Modeling Earth Systems (JAMES)" on February 2023. The program is coded in MATLAB and its results mainly compare the DynSoM model results with data recorded in two environments located in the polygonal tundra of Samoylov island, primarily as a monthly statistics from January 2003 to December 2016. For references, further information and sources used for the simulations, please refer to the source article.
This repository contains two windows executables. the file "DynSoM_Samoylov_JAMES.exe" is a package which include the installation of MATLAB Runtime.
the file "figures_Samoylov_DynSoM_model_JAMES.exe" only runs the results of the model but requires a previously installed version of MATLAB or MATLAB Runtim
Declining discharge of glacier outburst floods through the Holocene in central Patagonia
No full textGlacier outburstfloods are a major hazard in glacierized catchments. Global analyses have shownreduced frequency of glacierfloods over recent decades but there is limited longer-term data on eventmagnitude and frequency. Here, we present a Holocene palaeoflood record from the Río Baker (ChileanPatagonia), quantifying the discharge and timing of glacierfloods over millennial timescales. A cata-strophicflood of 110,000 m3/s (0.11 Sv) occurred at 9.6±0.8 ka, duringfinal stages of the Late GlacialInterglacial Transition, followed byfiveflood-phases coeval or post-dating Holocene neoglacials. Highestflood frequencies occurred at 4.3e4.4 ka, with 26floods of minimum discharges of 10,000e11,000 m3/s,and 0.6 ka with 10floods exceeding 4600e5700 m3/s. The largest modern outburstflood recordedsurpassed ~3810 m3/s. Thus glacierflood magnitude declines from the order of 0.1 to 0.01 Sv over theEarly to Mid Holocene, and to 0.001 Sv in the instrumental record.GB was supported by the Spanish Ministry of Science, Innovation and Universities. VT would like to thank the Natural Resources Defence Council and Royal Holloway University of London Research Strategy Fund (RHUL-RSF) for funding initialfield visits that led tothis research. AD thanks equipment and field support from CIEP, B.Reid, DGA-Aysen, J. Tureo, C. Meier, C. Olivares, H. Soto, M. Williams(U Greenwich) and NERC-GEF. Xavier Rodriguez-Lloveras providedfield assistance duringfield work in April 2014.Peer reviewe
Morphodynamics of an ephemeral gravel-bed stream combining Mobile Laser Scanner, hydraulic simulations and geomorphological indicators
No full textIn this study we document the role of moderate and small floods as effective agents for sediment transport and bedform change on Mediterranean ephemeral streams, with a study case in Rambla de la Viuda (Eastern Spain). Rambla de la Viuda is a gravel bed stream impacted by intense mining. The last significant variation in the river’s bedform morphology took place in March and May 2013, during two rainfall events (daily accumulated rain of 70 and 40 mm) that produced flow discharge peaks of 45 and 25 m3s–1 respectively. As a consequence of the flows, two new lateral gravel bars with a total volume of 2,323 m3 were deposited on the area under study. The characterization of the flows was made by using Mobile Laser Scanner, RTK-GPS and Photographs surveys in addition to gravel size measurements prior and after each discharge. The integration of these techniques was used to trace the major fluvial geomorphic processes and thus implement a two-dimensional model that explains them. Change detection and grain size distribution pointed out the high availability of material (especially with sizes of 32 – 45 mm), the absence of a well-developed bed armoured layer, and provide information about hydraulic conditions that limited sediment transport during these events.Financial support is given by projects CGL2011-29176 and CGL2014-58127-C3-1-R (Spanish “Ministerio de Economía y Competitividad”).Peer reviewe
DynSoM-2D_v1.0
No full textCode (and necessary forcing data) for "Lateral heat fluxes amplify the aggregation error of soil temperature in non-sorted circles"
Abstract:
Soil properties vary within centimeters, which is not captured by state-of-the-art land-surface models due to their kilometer-scale grid. This mismatch can lead to systematic errors when simulating the exchange of energy, water, and greenhouse gases between the land and atmosphere—collectively referred to as “aggregation error.”
To quantify the potential aggregation error of soil temperature, we developed the two-dimensional pedon-scale geophysical soil model DynSoM-2D, which has a spatial resolution of 10cm. We applied DynSoM-2D at a permafrost-affected, non-sorted circle site using three different setups: (i) a homogeneous soil profile representing a typical land surface model, compiled by averaging the heterogeneous soil inputs; (ii) the actual heterogeneous soil profile of a typical non-sorted circle; and (iii) the heterogeneous soil profile including lateral heat fluxes.
Our results show that DynSoM simulates warmer soil temperatures when heterogeneous soil properties are considered, with this warming becoming even more pronounced and consistent across the domain when lateral heat fluxes are included. By aggregating grid cells, we traced the aggregation error back to the spatial distribution of organic matter, which nonlinearly alters soil thermal and hydrological properties, leading to the observed differences between simulations. In our case, the heterogeneity-induced warming led to a deepening of the active layer and an extension of the snow-free period, both of which can strongly alter ecosystem dynamics, while having only a minor effect on soil-atmosphere heat exchange on an annual basis
Modelling the Hydro‐Sedimentary Dynamics of a Mediterranean Semiarid Ungauged Watershed Beyond the Instrumental Period
No full textDynSoM-2D_v1.0
No full textCode (and necessary forcing data) for "Lateral heat fluxes amplify the aggregation error of soil temperature in non-sorted circles"
Abstract:
Soil properties vary within centimeters, which is not captured by state-of-the-art land-surface models due to their kilometer-scale grid. This mismatch can lead to systematic errors when simulating the exchange of energy, water, and greenhouse gases between the land and atmosphere—collectively referred to as “aggregation error.”
To quantify the potential aggregation error of soil temperature, we developed the two-dimensional pedon-scale geophysical soil model DynSoM-2D, which has a spatial resolution of 10cm. We applied DynSoM-2D at a permafrost-affected, non-sorted circle site using three different setups: (i) a homogeneous soil profile representing a typical land surface model, compiled by averaging the heterogeneous soil inputs; (ii) the actual heterogeneous soil profile of a typical non-sorted circle; and (iii) the heterogeneous soil profile including lateral heat fluxes.
Our results show that DynSoM simulates warmer soil temperatures when heterogeneous soil properties are considered, with this warming becoming even more pronounced and consistent across the domain when lateral heat fluxes are included. By aggregating grid cells, we traced the aggregation error back to the spatial distribution of organic matter, which nonlinearly alters soil thermal and hydrological properties, leading to the observed differences between simulations. In our case, the heterogeneity-induced warming led to a deepening of the active layer and an extension of the snow-free period, both of which can strongly alter ecosystem dynamics, while having only a minor effect on soil-atmosphere heat exchange on an annual basis
Impact of Climate Change on Sawfly (Suborder: Symphyta) Polinators in Andalusia Region, Spain
No full textAnalysis of Existing Disaster Risk Reduction Programs and Enhancement of Capacity Development for Health Risks from Floods in Western Balkan
No full textModelling the Inorganic Bromine Partitioning in the Tropical Tropopause over the Pacific Ocean
No full textThe stratospheric inorganic bromine burden (Bry) arising from the degradation of brominated very short-lived organic substances (VSL org ), and its partitioning between reactive and reservoir species, is needed for a comprehensive assessment of the ozone depletion potential of brominated trace gases. Here we present modelled inorganic bromine abundances over the Pacific tropical tropopause based on aircraft observations of VSL org of two campaigns of the Airborne Tropical TRopopause EXperiment (ATTREX 2013 carried out over eastern Pacific and ATTREX 2014 carried out over the western Pacific) and chemistry-climate simulations (along ATTREX flight tracks) using the specific meteorology prevailing. Using the Community Atmosphere Model with Chemistry (CAM-Chem), we model that BrO and Br are the daytime dominant species. Integrated across all ATTREX flights BrO represents ~ 43 % and 48 % of daytime Bry abundance at 17 km over the Western and Eastern Pacific, respectively. The results also show zones where Br/BrO >1 depending on the solar zenith angle (SZA), ozone concentration and temperature. On the other hand, BrCl and BrONO 2 were found to be the dominant night-time species with ~ 61% and 56 % of abundance at 17 km over the Western and Eastern Pacific, respectively. The western-to-eastern differences in the partitioning of inorganic bromine are explained by different abundances of ozone (O3), nitrogen dioxide (NO2) , and total inorganic chlorine (Cly).Fil: Navarro, María A.. University of Miami; Estados UnidosFil: Saiz-lopez, Alfonso. Consejo Superior de Investigaciones Científicas. Instituto de Química Física; EspañaFil: Cuevas, Carlos Alberto. Consejo Superior de Investigaciones Científicas. Instituto de Química Física; EspañaFil: Fernandez, Rafael Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Exactas y Naturales; Argentina. Universidad Tecnologica Nacional. Facultad Regional Mendoza. Secretaría de Ciencia, Tecnología y Postgrado; ArgentinaFil: Atlas, Elliot. University of Miami; Estados UnidosFil: Rodriguez Lloeveras, Xavier. Consejo Superior de Investigaciones Científicas. Instituto de Química Física; EspañaFil: Kinnison, Douglas E.. National Center For Atmospheric Research. Amospheric Chemistry División; Estados UnidosFil: Lamarque, Jean Francois. National Center For Atmospheric Research. Amospheric Chemistry División; Estados UnidosFil: Tilmes, Simone. National Center For Atmospheric Research. Amospheric Chemistry División; Estados UnidosFil: Thornberry, Troy. State University of Colorado at Boulder; Estados Unidos. Earth System Research Laboratory; Estados UnidosFil: Rollins, Andrew. State University of Colorado at Boulder; Estados Unidos. Earth System Research Laboratory; Estados UnidosFil: Elkins, James W.. Earth System Research Laboratory; Estados UnidosFil: Hintsa, Eric J.. State University of Colorado at Boulder; Estados Unidos. Earth System Research Laboratory; Estados UnidosFil: Moore, Fred L.. State University of Colorado at Boulder; Estados Unidos. Earth System Research Laboratory; Estados Unido
