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The gravimetric quasi-geoid of Tierra del Fuego Province based on Least Squares Collocation: RIO2QG_LSC_2025

RIO2QG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding RIO2, an International Height Reference Frame (IHRF) station located in the Province of Tierra del Fuego, Argentina, covering latitudes 56°S to 51°S and longitudes 71°W to 64°W, with a 0.03° grid resolution. The model’s purpose is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 700. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 41 GNSS/leveling points yielded an estimated precision of 0.066 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

The gravimetric quasi-geoid of Tierra del Fuego Province based on FFT with modified Stokes kernel: RIO2QG_FFT_2025

RIO2QG_FFT_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding RIO2, an International Height Reference Frame (IHRF) station located in the Province of Tierra del Fuego, Argentina, covering latitudes 56°S to 51°S and longitudes 71°W to 64°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 700. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the 1D-FFT technique incorporating the Wong-Gore modification to Stokes’ kernel. All computational steps were performed with the GRAVSOFT software package. Validation against 41 GNSS/leveling points yielded an estimated precision of 0.061 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

The gravimetric quasi-geoid of Santa Cruz Province based on FFT with modified Stokes kernel: UNPAQG_FFT_2025

UNPAQG_FFT_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding UNPA, an International Height Reference Frame (IHRF) station located in the Province of Santa Cruz, Argentina, covering latitudes 54°S to 50°S and longitudes 72°W to 66°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 740. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the 1D-FFT technique incorporating the Wong-Gore modification of Stokes’ kernel. All computational steps were performed with the GRAVSOFT software package. Validation against 81 GNSS/leveling points yielded an estimated precision of 0.092 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

Linking nutrient cycles, land use and biodiversity along an elevation gradient on Mt. Kilimanjaro

To understand impacts of climate and land use changes on biodiversity and accompanying ecosystem stability and services at the Mt. Kilimanjaro, detailed understanding and description of the current biotic and abiotic controls on ecosystem C and nutrient fluxes are needed. Therefore, cycles of main nutrients and typomorph elements (C, N, P, K, Ca, Mg, S, Si) will be quantitatively described on pedon and stand level scale depending on climate (altitude gradient) and land use (natural vs. agricultural ecosystems). Total and available pools of the elements will be quantified in litter and soils for 6 dominant (agro)ecosystems and related to soil greenhouse gas emissions (CO2, N2O, CH4). 13C and 15N tracers will be used at small plots for exact quantification of C and N fluxes by decomposition of plant residues (SP7), mineralization, nitrification, denitrification and incorporation into soil organic matter pools with various stability. 13C compound-specific isotope analyses in microbial biomarkers (13C-PLFA) will evaluate the changes of key biota as dependent on climate and land use. Greenhouse gas (GHG) emissions and leaching losses of nutrients from the (agro)ecosystems and the increase of the losses by conversion of natural ecosystems to agriculture will be evaluated and linked with changing vegetation diversity (SP4), vegetation biomass (SP2), decomposers community (SP7) and plant functional traits (SP5). Nutrient pools, turnover and fluxes will be linked with water cycle (SP2), CO2 and H2O vegetation exchange (SP2) allowing to describe ecosystem specific nutrient and water characteristics including the derivation of full GHG balances. Based on 60 plots screening stand level scale biogeochemical models will be tested, adapted and applied for simulation of key ecosystem processes along climate (SP1) and land use gradients.

The gravimetric quasi-geoid of Salta Province based on Least Squares Collocation: UNSAQG_LSC_2025

UNSAQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding UNSA, an International Height Reference Frame (IHRF) station located in the Province of Salta, Argentina, covering latitudes 26.5°S to 24.5°S and longitudes 66°W to 64°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 800. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 51 GNSS/leveling points yielded an estimated precision of 0.124 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

The gravimetric quasi-geoid of San Juan Province based on Least Squares Collocation: OAFAQG_LSC_2025

OAFAQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding OAFA and UNSJ, two International Height Reference Frame (IHRF) stations located in the Province of San Juan, Argentina, covering latitudes 34°S to 30°S and longitudes 70.5°W to 65.5°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at these stations. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 840. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 188 GNSS/leveling points yielded an estimated precision of 0.172 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

The gravimetric quasi-geoid of Santa Cruz Province based on Least Squares Collocation: UNPAQG_LSC_2025

UNPAQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding UNPA, an International Height Reference Frame (IHRF) station located in the Province of Santa Cruz, Argentina, covering latitudes 54°S to 50°S and longitudes 72°W to 66°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 740. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 81 GNSS/leveling points yielded an estimated precision of 0.094 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

The gravimetric quasi-geoid of Buenos Aires Province based on Least Squares Collocation: AGGOQG_LSC_2025

AGGOQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding AGGO and LPGS, two International Height Reference Frame (IHRF) stations located in the Province of Buenos Aires, Argentina, covering latitudes 36°S to 31°S and longitudes 61°W to 55°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at these stations. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 600. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 111 GNSS/leveling points yielded an estimated precision of 0.063 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

The gravimetric quasi-geoid of Salta Province based on FFT with modified Stokes kernel: UNSAQG_FFT_2025

UNSAQG_FFT_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding UNSA, an International Height Reference Frame (IHRF) station located in the Province of Salta, Argentina, covering latitudes 26.5°S to 24.5°S and longitudes 66°W to 64°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 800. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the 1D-FFT technique incorporating the Wong-Gore modification of Stokes’ kernel. All computational steps were performed with the GRAVSOFT software package. Validation against 51 GNSS/leveling points yielded an estimated precision of 0.124 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

The gravimetric quasi-geoid of Buenos Aires Province based on FFT with modified Stokes kernel: AGGOQG_FFT_2025

AGGOQG_FFT_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding AGGO and LPGS, two International Height Reference Frame (IHRF) stations located in the Province of Buenos Aires, Argentina, covering latitudes 36°S to 31°S and longitudes 61°W to 55°W, with a 0.03° grid resolution. The purpose of the modelis to determine the IHRF vertical coordinate at these stations. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 600. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the 1D-FFT technique incorporating the Wong-Gore modification of Stokes’ kernel. All computational steps were performed with the GRAVSOFT software package. Validation against 111 GNSS/leveling points yielded an estimated precision of 0.063 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

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