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LandInG: Land Input Generator

Main contact: Sebastian Ostberg, ostberg@pik-potsdam.de

Affiliation: Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany

This project contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources. It has been developed with a focus on the open-source dynamic global vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with managed Land) and complements the LPJmL model code release. This toolbox does not cover climate inputs.

LandInG has been documented in the following publication: Ostberg, S., Müller, C., Heinke, J., and Schaphoff, S.: LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375–3406, https://doi.org/10.5194/gmd-16-3375-2023, 2023

All source code, configuration and parameter files are subject to Copyright (C) by the Potsdam Institute for Climate Impact Research (PIK), see the file COPYRIGHT, and are licensed under the GNU AFFERO GENERAL PUBLIC LICENSE Version 3, see the file LICENSE.

Structure:

  • elevation: subdirectory containing scripts to derive an elevation input
  • fertilizer: subdirectory containing scripts to derive fertilizer and manure inputs from various sources
  • gadm: subdirectory containing scripts to process GADM data (grid, country/region/district codes, land fraction in each cell etc.)
  • lakes_rivers: subdirectory containing scripts to process GLWD data and extract cell fractions covered by lakes and rivers
  • landuse: subdirectory containing scripts to generate a landuse dataset from various sources
  • river_routing: subdirectory containing scripts to derive inputs related to river routing
  • reservoirs: subdirectory containing scripts to derive dam/reservoir input
  • soil: subdirectory containing scripts to derive soil inputs
  • COPYRIGHT: copyright information
  • LICENSE: license information
  • README.md: this file
  • lpjml_format_helper_functions.R: script defining a number of utility functions to work with the LPJmL input format

How to use

  • Normally, you will run the scripts in the gadm directory first, which generate a grid file that is used by all the other input generating scripts.
  • In order to run LPJmL with the most basic settings, you will also need a soil input, which is generated by the script in soil, and a lake input, which is generated by the scripts in lakes_rivers.
  • In order to use LPJmL with river routing, you will also need to run the scripts in river_routing.
  • In order to use LPJmL with reservoirs, you will need data generated by the scripts in river_routing and need to run the scripts in reservoirs and elevation.
  • Scripts in landuse require not only the grid, but also grid-to-country and grid-to-region data generated by the scripts in gadm.
  • Scripts in fertilizer require a grid and data generated by the scripts in gadm and landuse.

README files in each subdirectory provide additional information.

About

The Land Input Generator (LandInG) contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources.

doi.org/10.5194/gmd-16-3375-2023

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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LandInG: Land Input Generator
Main contact: Sebastian Ostberg, ostberg@pik-potsdam.de
Affiliation: Potsdam Institute for Climate Impact Research (PIK), Potsdam,
Germany
This project contains a collection of scripts to derive basic input datasets for
terrestrial ecosystem models from diverse and partially conflicting data
sources. It has been developed with a focus on the open-source dynamic global
vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with
managed Land) and complements the
LPJmL model code release. This toolbox
does not cover climate inputs.
LandInG has been documented in the following publication:
Ostberg, S., Müller, C., Heinke, J., and Schaphoff, S.: LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375–3406, https://doi.org/10.5194/gmd-16-3375-2023, 2023
All source code, configuration and parameter files are subject to
Copyright (C) by the Potsdam Institute for Climate Impact Research (PIK), see
the file COPYRIGHT, and are licensed under the GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, see the file LICENSE.
Structure:
  • elevation: subdirectory containing scripts to derive an elevation input
  • fertilizer: subdirectory containing scripts to derive fertilizer and manure
inputs from various sources
  • gadm: subdirectory containing scripts to process GADM data (grid,
country/region/district codes, land fraction in each cell etc.)
  • lakes_rivers: subdirectory containing scripts to process GLWD data and
extract cell fractions covered by lakes and rivers
  • landuse: subdirectory containing scripts to generate a landuse dataset from
various sources
  • river_routing: subdirectory containing scripts to derive inputs related to
river routing
  • reservoirs: subdirectory containing scripts to derive dam/reservoir input
  • soil: subdirectory containing scripts to derive soil inputs
  • COPYRIGHT: copyright information
  • LICENSE: license information
  • README.md: this file
  • lpjml_format_helper_functions.R: script defining a number of utility
functions to work with the LPJmL input format
How to use
  • Normally, you will run the scripts in the gadm directory first, which
generate a grid file that is used by all the other input generating scripts.
  • In order to run LPJmL with the most basic settings, you will also need a
soil input, which is generated by the script in soil, and a lake input,
which is generated by the scripts in lakes_rivers.
  • In order to use LPJmL with river routing, you will also need to run the
scripts in river_routing.
  • In order to use LPJmL with reservoirs, you will need data generated by the
scripts in river_routing and need to run the scripts in reservoirs and
elevation.
  • Scripts in landuse require not only the grid, but also grid-to-country and
grid-to-region data generated by the scripts in gadm.
  • Scripts in fertilizer require a grid and data generated by the scripts in
gadm and landuse.
README files in each subdirectory provide additional information.
About
The Land Input Generator (LandInG) contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources.
doi.org/10.5194/gmd-16-3375-2023
Resources
Readme
AGPL-3.0 license
Activity
Custom properties
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10 stars
Watchers
3 watching
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, 'i');
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try {
var __m = "*";
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LandInG: Land Input Generator
Main contact: Sebastian Ostberg, ostberg@pik-potsdam.de
Affiliation: Potsdam Institute for Climate Impact Research (PIK), Potsdam,
Germany
This project contains a collection of scripts to derive basic input datasets for
terrestrial ecosystem models from diverse and partially conflicting data
sources. It has been developed with a focus on the open-source dynamic global
vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with
managed Land) and complements the
LPJmL model code release. This toolbox
does not cover climate inputs.
LandInG has been documented in the following publication:
Ostberg, S., Müller, C., Heinke, J., and Schaphoff, S.: LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375–3406, https://doi.org/10.5194/gmd-16-3375-2023, 2023
All source code, configuration and parameter files are subject to
Copyright (C) by the Potsdam Institute for Climate Impact Research (PIK), see
the file COPYRIGHT, and are licensed under the GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, see the file LICENSE.
Structure:
  • elevation: subdirectory containing scripts to derive an elevation input
  • fertilizer: subdirectory containing scripts to derive fertilizer and manure
inputs from various sources
  • gadm: subdirectory containing scripts to process GADM data (grid,
country/region/district codes, land fraction in each cell etc.)
  • lakes_rivers: subdirectory containing scripts to process GLWD data and
extract cell fractions covered by lakes and rivers
  • landuse: subdirectory containing scripts to generate a landuse dataset from
various sources
  • river_routing: subdirectory containing scripts to derive inputs related to
river routing
  • reservoirs: subdirectory containing scripts to derive dam/reservoir input
  • soil: subdirectory containing scripts to derive soil inputs
  • COPYRIGHT: copyright information
  • LICENSE: license information
  • README.md: this file
  • lpjml_format_helper_functions.R: script defining a number of utility
functions to work with the LPJmL input format
How to use
  • Normally, you will run the scripts in the gadm directory first, which
generate a grid file that is used by all the other input generating scripts.
  • In order to run LPJmL with the most basic settings, you will also need a
soil input, which is generated by the script in soil, and a lake input,
which is generated by the scripts in lakes_rivers.
  • In order to use LPJmL with river routing, you will also need to run the
scripts in river_routing.
  • In order to use LPJmL with reservoirs, you will need data generated by the
scripts in river_routing and need to run the scripts in reservoirs and
elevation.
  • Scripts in landuse require not only the grid, but also grid-to-country and
grid-to-region data generated by the scripts in gadm.
  • Scripts in fertilizer require a grid and data generated by the scripts in
gadm and landuse.
README files in each subdirectory provide additional information.
About
The Land Input Generator (LandInG) contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources.
doi.org/10.5194/gmd-16-3375-2023
Resources
Readme
AGPL-3.0 license
Activity
Custom properties
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10 stars
Watchers
3 watching
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5 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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BranchesTags
Repository files navigation
LandInG: Land Input Generator
Main contact: Sebastian Ostberg, ostberg@pik-potsdam.de
Affiliation: Potsdam Institute for Climate Impact Research (PIK), Potsdam,
Germany
This project contains a collection of scripts to derive basic input datasets for
terrestrial ecosystem models from diverse and partially conflicting data
sources. It has been developed with a focus on the open-source dynamic global
vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with
managed Land) and complements the
LPJmL model code release. This toolbox
does not cover climate inputs.
LandInG has been documented in the following publication:
Ostberg, S., Müller, C., Heinke, J., and Schaphoff, S.: LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375–3406, https://doi.org/10.5194/gmd-16-3375-2023, 2023
All source code, configuration and parameter files are subject to
Copyright (C) by the Potsdam Institute for Climate Impact Research (PIK), see
the file COPYRIGHT, and are licensed under the GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, see the file LICENSE.
Structure:
  • elevation: subdirectory containing scripts to derive an elevation input
  • fertilizer: subdirectory containing scripts to derive fertilizer and manure
inputs from various sources
  • gadm: subdirectory containing scripts to process GADM data (grid,
country/region/district codes, land fraction in each cell etc.)
  • lakes_rivers: subdirectory containing scripts to process GLWD data and
extract cell fractions covered by lakes and rivers
  • landuse: subdirectory containing scripts to generate a landuse dataset from
various sources
  • river_routing: subdirectory containing scripts to derive inputs related to
river routing
  • reservoirs: subdirectory containing scripts to derive dam/reservoir input
  • soil: subdirectory containing scripts to derive soil inputs
  • COPYRIGHT: copyright information
  • LICENSE: license information
  • README.md: this file
  • lpjml_format_helper_functions.R: script defining a number of utility
functions to work with the LPJmL input format
How to use
  • Normally, you will run the scripts in the gadm directory first, which
generate a grid file that is used by all the other input generating scripts.
  • In order to run LPJmL with the most basic settings, you will also need a
soil input, which is generated by the script in soil, and a lake input,
which is generated by the scripts in lakes_rivers.
  • In order to use LPJmL with river routing, you will also need to run the
scripts in river_routing.
  • In order to use LPJmL with reservoirs, you will need data generated by the
scripts in river_routing and need to run the scripts in reservoirs and
elevation.
  • Scripts in landuse require not only the grid, but also grid-to-country and
grid-to-region data generated by the scripts in gadm.
  • Scripts in fertilizer require a grid and data generated by the scripts in
gadm and landuse.
README files in each subdirectory provide additional information.
About
The Land Input Generator (LandInG) contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources.
doi.org/10.5194/gmd-16-3375-2023
Resources
Readme
AGPL-3.0 license
Activity
Custom properties
Stars
10 stars
Watchers
3 watching
Forks
5 forks
Report repository
Releases
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Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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LandInG: Land Input Generator
Main contact: Sebastian Ostberg, ostberg@pik-potsdam.de
Affiliation: Potsdam Institute for Climate Impact Research (PIK), Potsdam,
Germany
This project contains a collection of scripts to derive basic input datasets for
terrestrial ecosystem models from diverse and partially conflicting data
sources. It has been developed with a focus on the open-source dynamic global
vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with
managed Land) and complements the
LPJmL model code release. This toolbox
does not cover climate inputs.
LandInG has been documented in the following publication:
Ostberg, S., Müller, C., Heinke, J., and Schaphoff, S.: LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375–3406, https://doi.org/10.5194/gmd-16-3375-2023, 2023
All source code, configuration and parameter files are subject to
Copyright (C) by the Potsdam Institute for Climate Impact Research (PIK), see
the file COPYRIGHT, and are licensed under the GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, see the file LICENSE.
Structure:
  • elevation: subdirectory containing scripts to derive an elevation input
  • fertilizer: subdirectory containing scripts to derive fertilizer and manure
inputs from various sources
  • gadm: subdirectory containing scripts to process GADM data (grid,
country/region/district codes, land fraction in each cell etc.)
  • lakes_rivers: subdirectory containing scripts to process GLWD data and
extract cell fractions covered by lakes and rivers
  • landuse: subdirectory containing scripts to generate a landuse dataset from
various sources
  • river_routing: subdirectory containing scripts to derive inputs related to
river routing
  • reservoirs: subdirectory containing scripts to derive dam/reservoir input
  • soil: subdirectory containing scripts to derive soil inputs
  • COPYRIGHT: copyright information
  • LICENSE: license information
  • README.md: this file
  • lpjml_format_helper_functions.R: script defining a number of utility
functions to work with the LPJmL input format
How to use
  • Normally, you will run the scripts in the gadm directory first, which
generate a grid file that is used by all the other input generating scripts.
  • In order to run LPJmL with the most basic settings, you will also need a
soil input, which is generated by the script in soil, and a lake input,
which is generated by the scripts in lakes_rivers.
  • In order to use LPJmL with river routing, you will also need to run the
scripts in river_routing.
  • In order to use LPJmL with reservoirs, you will need data generated by the
scripts in river_routing and need to run the scripts in reservoirs and
elevation.
  • Scripts in landuse require not only the grid, but also grid-to-country and
grid-to-region data generated by the scripts in gadm.
  • Scripts in fertilizer require a grid and data generated by the scripts in
gadm and landuse.
README files in each subdirectory provide additional information.
About
The Land Input Generator (LandInG) contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources.
doi.org/10.5194/gmd-16-3375-2023
Resources
Readme
AGPL-3.0 license
Activity
Custom properties
Stars
10 stars
Watchers
3 watching
Forks
5 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
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LandInG: Land Input Generator
Main contact: Sebastian Ostberg, ostberg@pik-potsdam.de
Affiliation: Potsdam Institute for Climate Impact Research (PIK), Potsdam,
Germany
This project contains a collection of scripts to derive basic input datasets for
terrestrial ecosystem models from diverse and partially conflicting data
sources. It has been developed with a focus on the open-source dynamic global
vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with
managed Land) and complements the
LPJmL model code release. This toolbox
does not cover climate inputs.
LandInG has been documented in the following publication:
Ostberg, S., Müller, C., Heinke, J., and Schaphoff, S.: LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375–3406, https://doi.org/10.5194/gmd-16-3375-2023, 2023
All source code, configuration and parameter files are subject to
Copyright (C) by the Potsdam Institute for Climate Impact Research (PIK), see
the file COPYRIGHT, and are licensed under the GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, see the file LICENSE.
Structure:
  • elevation: subdirectory containing scripts to derive an elevation input
  • fertilizer: subdirectory containing scripts to derive fertilizer and manure
inputs from various sources
  • gadm: subdirectory containing scripts to process GADM data (grid,
country/region/district codes, land fraction in each cell etc.)
  • lakes_rivers: subdirectory containing scripts to process GLWD data and
extract cell fractions covered by lakes and rivers
  • landuse: subdirectory containing scripts to generate a landuse dataset from
various sources
  • river_routing: subdirectory containing scripts to derive inputs related to
river routing
  • reservoirs: subdirectory containing scripts to derive dam/reservoir input
  • soil: subdirectory containing scripts to derive soil inputs
  • COPYRIGHT: copyright information
  • LICENSE: license information
  • README.md: this file
  • lpjml_format_helper_functions.R: script defining a number of utility
functions to work with the LPJmL input format
How to use
  • Normally, you will run the scripts in the gadm directory first, which
generate a grid file that is used by all the other input generating scripts.
  • In order to run LPJmL with the most basic settings, you will also need a
soil input, which is generated by the script in soil, and a lake input,
which is generated by the scripts in lakes_rivers.
  • In order to use LPJmL with river routing, you will also need to run the
scripts in river_routing.
  • In order to use LPJmL with reservoirs, you will need data generated by the
scripts in river_routing and need to run the scripts in reservoirs and
elevation.
  • Scripts in landuse require not only the grid, but also grid-to-country and
grid-to-region data generated by the scripts in gadm.
  • Scripts in fertilizer require a grid and data generated by the scripts in
gadm and landuse.
README files in each subdirectory provide additional information.
About
The Land Input Generator (LandInG) contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources.
doi.org/10.5194/gmd-16-3375-2023
Resources
Readme
AGPL-3.0 license
Activity
Custom properties
Stars
10 stars
Watchers
3 watching
Forks
5 forks
Report repository
Releases
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Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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LandInG: Land Input Generator
Main contact: Sebastian Ostberg, ostberg@pik-potsdam.de
Affiliation: Potsdam Institute for Climate Impact Research (PIK), Potsdam,
Germany
This project contains a collection of scripts to derive basic input datasets for
terrestrial ecosystem models from diverse and partially conflicting data
sources. It has been developed with a focus on the open-source dynamic global
vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with
managed Land) and complements the
LPJmL model code release. This toolbox
does not cover climate inputs.
LandInG has been documented in the following publication:
Ostberg, S., Müller, C., Heinke, J., and Schaphoff, S.: LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375–3406, https://doi.org/10.5194/gmd-16-3375-2023, 2023
All source code, configuration and parameter files are subject to
Copyright (C) by the Potsdam Institute for Climate Impact Research (PIK), see
the file COPYRIGHT, and are licensed under the GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, see the file LICENSE.
Structure:
  • elevation: subdirectory containing scripts to derive an elevation input
  • fertilizer: subdirectory containing scripts to derive fertilizer and manure
inputs from various sources
  • gadm: subdirectory containing scripts to process GADM data (grid,
country/region/district codes, land fraction in each cell etc.)
  • lakes_rivers: subdirectory containing scripts to process GLWD data and
extract cell fractions covered by lakes and rivers
  • landuse: subdirectory containing scripts to generate a landuse dataset from
various sources
  • river_routing: subdirectory containing scripts to derive inputs related to
river routing
  • reservoirs: subdirectory containing scripts to derive dam/reservoir input
  • soil: subdirectory containing scripts to derive soil inputs
  • COPYRIGHT: copyright information
  • LICENSE: license information
  • README.md: this file
  • lpjml_format_helper_functions.R: script defining a number of utility
functions to work with the LPJmL input format
How to use
  • Normally, you will run the scripts in the gadm directory first, which
generate a grid file that is used by all the other input generating scripts.
  • In order to run LPJmL with the most basic settings, you will also need a
soil input, which is generated by the script in soil, and a lake input,
which is generated by the scripts in lakes_rivers.
  • In order to use LPJmL with river routing, you will also need to run the
scripts in river_routing.
  • In order to use LPJmL with reservoirs, you will need data generated by the
scripts in river_routing and need to run the scripts in reservoirs and
elevation.
  • Scripts in landuse require not only the grid, but also grid-to-country and
grid-to-region data generated by the scripts in gadm.
  • Scripts in fertilizer require a grid and data generated by the scripts in
gadm and landuse.
README files in each subdirectory provide additional information.
About
The Land Input Generator (LandInG) contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources.
doi.org/10.5194/gmd-16-3375-2023
Resources
Readme
AGPL-3.0 license
Activity
Custom properties
Stars
10 stars
Watchers
3 watching
Forks
5 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
LandInG: Land Input Generator
Main contact: Sebastian Ostberg, ostberg@pik-potsdam.de
Affiliation: Potsdam Institute for Climate Impact Research (PIK), Potsdam,
Germany
This project contains a collection of scripts to derive basic input datasets for
terrestrial ecosystem models from diverse and partially conflicting data
sources. It has been developed with a focus on the open-source dynamic global
vegetation, hydrology and crop growth model LPJmL (Lund-Potsdam-Jena with
managed Land) and complements the
LPJmL model code release. This toolbox
does not cover climate inputs.
LandInG has been documented in the following publication:
Ostberg, S., Müller, C., Heinke, J., and Schaphoff, S.: LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375–3406, https://doi.org/10.5194/gmd-16-3375-2023, 2023
All source code, configuration and parameter files are subject to
Copyright (C) by the Potsdam Institute for Climate Impact Research (PIK), see
the file COPYRIGHT, and are licensed under the GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, see the file LICENSE.
Structure:
  • elevation: subdirectory containing scripts to derive an elevation input
  • fertilizer: subdirectory containing scripts to derive fertilizer and manure
inputs from various sources
  • gadm: subdirectory containing scripts to process GADM data (grid,
country/region/district codes, land fraction in each cell etc.)
  • lakes_rivers: subdirectory containing scripts to process GLWD data and
extract cell fractions covered by lakes and rivers
  • landuse: subdirectory containing scripts to generate a landuse dataset from
various sources
  • river_routing: subdirectory containing scripts to derive inputs related to
river routing
  • reservoirs: subdirectory containing scripts to derive dam/reservoir input
  • soil: subdirectory containing scripts to derive soil inputs
  • COPYRIGHT: copyright information
  • LICENSE: license information
  • README.md: this file
  • lpjml_format_helper_functions.R: script defining a number of utility
functions to work with the LPJmL input format
How to use
  • Normally, you will run the scripts in the gadm directory first, which
generate a grid file that is used by all the other input generating scripts.
  • In order to run LPJmL with the most basic settings, you will also need a
soil input, which is generated by the script in soil, and a lake input,
which is generated by the scripts in lakes_rivers.
  • In order to use LPJmL with river routing, you will also need to run the
scripts in river_routing.
  • In order to use LPJmL with reservoirs, you will need data generated by the
scripts in river_routing and need to run the scripts in reservoirs and
elevation.
  • Scripts in landuse require not only the grid, but also grid-to-country and
grid-to-region data generated by the scripts in gadm.
  • Scripts in fertilizer require a grid and data generated by the scripts in
gadm and landuse.
README files in each subdirectory provide additional information.
About
The Land Input Generator (LandInG) contains a collection of scripts to derive basic input datasets for terrestrial ecosystem models from diverse and partially conflicting data sources.
doi.org/10.5194/gmd-16-3375-2023
Resources
Readme
AGPL-3.0 license
Activity
Custom properties
Stars
10 stars
Watchers
3 watching
Forks
5 forks
Report repository
Releases
Packages
Contributors
Languages