Repository files navigation

pycoupler: dynamic model coupling of LPJmL

DOICIcodecovPyPI version

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts. pycoupler was written to establish a coupled World-Earth modeling framework, copan:LPJmL, based on copan:CORE and LPJmL. Coupling with LPJmL is possible on an annual basis, i.e. for each year in which LPJmL is in coupling mode, the desired inputs must be passed via pycoupler. LPJmL simulates the corresponding year and returns the desired outputs at the end of the year. The coupled programme can use the output data to generate new inputs for the next year.

Overview

LPJmL Config ⚙ for handling LPJmL configurations

  • Read & write ✍ LPJmL configuration files as LPJmLConfig objects
  • Set options & parameters for spinup, transient and coupled simulations
  • regrid() 🌐 LPJmL output data for country-specific simulations
  • LPJmL can be checked check_lpjml() 🔍 and operated run_lpjml()submit_lpjml() 🚀 with written configuration files

LPJmL Coupler 🔌 to couple LPJmL with other models

  • LPJmLCoupler class to initiate bi-directional, annual coupling to LPJmL
  • 📥 Read output data (annual) from LPJmL
  • 📤 Send input data (annual) to LPJmL

LPJmL Data 💾 for reading and processing LPJmL data

  • xarray-based data classes
  • Read LPJmL netCDF files 🗺 as LPJmLData or LPJmLDataSetobjects
  • LPJmLMetaData for reading and handling LPJmL meta files or header data

Installation

pip install pycoupler

Prerequisites

Please clone and compile LPJmL in advance.
Make sure to also have set the working environment for LPJmL correctly if you are not working on the PIK HPC (with Slurm Workload Manager).

Questions / Problems

In case of questions please contact Jannes Breier jannesbr@pik-potsdam.de or open an issue.

Contributing

Merge requests are welcome, see CONTRIBUTING.md. For major changes, please open an issue first to discuss what you would like to change.

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An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Repository files navigation

pycoupler: dynamic model coupling of LPJmL

DOICIcodecovPyPI version

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts. pycoupler was written to establish a coupled World-Earth modeling framework, copan:LPJmL, based on copan:CORE and LPJmL. Coupling with LPJmL is possible on an annual basis, i.e. for each year in which LPJmL is in coupling mode, the desired inputs must be passed via pycoupler. LPJmL simulates the corresponding year and returns the desired outputs at the end of the year. The coupled programme can use the output data to generate new inputs for the next year.

Overview

LPJmL Config ⚙ for handling LPJmL configurations

  • Read & write ✍ LPJmL configuration files as LPJmLConfig objects
  • Set options & parameters for spinup, transient and coupled simulations
  • regrid() 🌐 LPJmL output data for country-specific simulations
  • LPJmL can be checked check_lpjml() 🔍 and operated run_lpjml()submit_lpjml() 🚀 with written configuration files

LPJmL Coupler 🔌 to couple LPJmL with other models

  • LPJmLCoupler class to initiate bi-directional, annual coupling to LPJmL
  • 📥 Read output data (annual) from LPJmL
  • 📤 Send input data (annual) to LPJmL

LPJmL Data 💾 for reading and processing LPJmL data

  • xarray-based data classes
  • Read LPJmL netCDF files 🗺 as LPJmLData or LPJmLDataSetobjects
  • LPJmLMetaData for reading and handling LPJmL meta files or header data

Installation

pip install pycoupler

Prerequisites

Please clone and compile LPJmL in advance.
Make sure to also have set the working environment for LPJmL correctly if you are not working on the PIK HPC (with Slurm Workload Manager).

Questions / Problems

In case of questions please contact Jannes Breier jannesbr@pik-potsdam.de or open an issue.

Contributing

Merge requests are welcome, see CONTRIBUTING.md. For major changes, please open an issue first to discuss what you would like to change.

About

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts.

Topics

Resources

Contributing

Stars

10 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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pycoupler: dynamic model coupling of LPJmL

DOICIcodecovPyPI version

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts. pycoupler was written to establish a coupled World-Earth modeling framework, copan:LPJmL, based on copan:CORE and LPJmL. Coupling with LPJmL is possible on an annual basis, i.e. for each year in which LPJmL is in coupling mode, the desired inputs must be passed via pycoupler. LPJmL simulates the corresponding year and returns the desired outputs at the end of the year. The coupled programme can use the output data to generate new inputs for the next year.

Overview

LPJmL Config ⚙ for handling LPJmL configurations

  • Read & write ✍ LPJmL configuration files as LPJmLConfig objects
  • Set options & parameters for spinup, transient and coupled simulations
  • regrid() 🌐 LPJmL output data for country-specific simulations
  • LPJmL can be checked check_lpjml() 🔍 and operated run_lpjml()submit_lpjml() 🚀 with written configuration files

LPJmL Coupler 🔌 to couple LPJmL with other models

  • LPJmLCoupler class to initiate bi-directional, annual coupling to LPJmL
  • 📥 Read output data (annual) from LPJmL
  • 📤 Send input data (annual) to LPJmL

LPJmL Data 💾 for reading and processing LPJmL data

  • xarray-based data classes
  • Read LPJmL netCDF files 🗺 as LPJmLData or LPJmLDataSetobjects
  • LPJmLMetaData for reading and handling LPJmL meta files or header data

Installation

pip install pycoupler

Prerequisites

Please clone and compile LPJmL in advance.
Make sure to also have set the working environment for LPJmL correctly if you are not working on the PIK HPC (with Slurm Workload Manager).

Questions / Problems

In case of questions please contact Jannes Breier jannesbr@pik-potsdam.de or open an issue.

Contributing

Merge requests are welcome, see CONTRIBUTING.md. For major changes, please open an issue first to discuss what you would like to change.

About

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts.

Topics

Resources

Contributing

Stars

10 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, '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"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

pycoupler: dynamic model coupling of LPJmL

DOICIcodecovPyPI version

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts. pycoupler was written to establish a coupled World-Earth modeling framework, copan:LPJmL, based on copan:CORE and LPJmL. Coupling with LPJmL is possible on an annual basis, i.e. for each year in which LPJmL is in coupling mode, the desired inputs must be passed via pycoupler. LPJmL simulates the corresponding year and returns the desired outputs at the end of the year. The coupled programme can use the output data to generate new inputs for the next year.

Overview

LPJmL Config ⚙ for handling LPJmL configurations

  • Read & write ✍ LPJmL configuration files as LPJmLConfig objects
  • Set options & parameters for spinup, transient and coupled simulations
  • regrid() 🌐 LPJmL output data for country-specific simulations
  • LPJmL can be checked check_lpjml() 🔍 and operated run_lpjml()submit_lpjml() 🚀 with written configuration files

LPJmL Coupler 🔌 to couple LPJmL with other models

  • LPJmLCoupler class to initiate bi-directional, annual coupling to LPJmL
  • 📥 Read output data (annual) from LPJmL
  • 📤 Send input data (annual) to LPJmL

LPJmL Data 💾 for reading and processing LPJmL data

  • xarray-based data classes
  • Read LPJmL netCDF files 🗺 as LPJmLData or LPJmLDataSetobjects
  • LPJmLMetaData for reading and handling LPJmL meta files or header data

Installation

pip install pycoupler

Prerequisites

Please clone and compile LPJmL in advance.
Make sure to also have set the working environment for LPJmL correctly if you are not working on the PIK HPC (with Slurm Workload Manager).

Questions / Problems

In case of questions please contact Jannes Breier jannesbr@pik-potsdam.de or open an issue.

Contributing

Merge requests are welcome, see CONTRIBUTING.md. For major changes, please open an issue first to discuss what you would like to change.

About

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts.

Topics

Resources

Contributing

Stars

10 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Repository files navigation

pycoupler: dynamic model coupling of LPJmL

DOICIcodecovPyPI version

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts. pycoupler was written to establish a coupled World-Earth modeling framework, copan:LPJmL, based on copan:CORE and LPJmL. Coupling with LPJmL is possible on an annual basis, i.e. for each year in which LPJmL is in coupling mode, the desired inputs must be passed via pycoupler. LPJmL simulates the corresponding year and returns the desired outputs at the end of the year. The coupled programme can use the output data to generate new inputs for the next year.

Overview

LPJmL Config ⚙ for handling LPJmL configurations

  • Read & write ✍ LPJmL configuration files as LPJmLConfig objects
  • Set options & parameters for spinup, transient and coupled simulations
  • regrid() 🌐 LPJmL output data for country-specific simulations
  • LPJmL can be checked check_lpjml() 🔍 and operated run_lpjml()submit_lpjml() 🚀 with written configuration files

LPJmL Coupler 🔌 to couple LPJmL with other models

  • LPJmLCoupler class to initiate bi-directional, annual coupling to LPJmL
  • 📥 Read output data (annual) from LPJmL
  • 📤 Send input data (annual) to LPJmL

LPJmL Data 💾 for reading and processing LPJmL data

  • xarray-based data classes
  • Read LPJmL netCDF files 🗺 as LPJmLData or LPJmLDataSetobjects
  • LPJmLMetaData for reading and handling LPJmL meta files or header data

Installation

pip install pycoupler

Prerequisites

Please clone and compile LPJmL in advance.
Make sure to also have set the working environment for LPJmL correctly if you are not working on the PIK HPC (with Slurm Workload Manager).

Questions / Problems

In case of questions please contact Jannes Breier jannesbr@pik-potsdam.de or open an issue.

Contributing

Merge requests are welcome, see CONTRIBUTING.md. For major changes, please open an issue first to discuss what you would like to change.

About

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts.

Topics

Resources

Contributing

Stars

10 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

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"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

pycoupler: dynamic model coupling of LPJmL

DOICIcodecovPyPI version

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts. pycoupler was written to establish a coupled World-Earth modeling framework, copan:LPJmL, based on copan:CORE and LPJmL. Coupling with LPJmL is possible on an annual basis, i.e. for each year in which LPJmL is in coupling mode, the desired inputs must be passed via pycoupler. LPJmL simulates the corresponding year and returns the desired outputs at the end of the year. The coupled programme can use the output data to generate new inputs for the next year.

Overview

LPJmL Config ⚙ for handling LPJmL configurations

  • Read & write ✍ LPJmL configuration files as LPJmLConfig objects
  • Set options & parameters for spinup, transient and coupled simulations
  • regrid() 🌐 LPJmL output data for country-specific simulations
  • LPJmL can be checked check_lpjml() 🔍 and operated run_lpjml()submit_lpjml() 🚀 with written configuration files

LPJmL Coupler 🔌 to couple LPJmL with other models

  • LPJmLCoupler class to initiate bi-directional, annual coupling to LPJmL
  • 📥 Read output data (annual) from LPJmL
  • 📤 Send input data (annual) to LPJmL

LPJmL Data 💾 for reading and processing LPJmL data

  • xarray-based data classes
  • Read LPJmL netCDF files 🗺 as LPJmLData or LPJmLDataSetobjects
  • LPJmLMetaData for reading and handling LPJmL meta files or header data

Installation

pip install pycoupler

Prerequisites

Please clone and compile LPJmL in advance.
Make sure to also have set the working environment for LPJmL correctly if you are not working on the PIK HPC (with Slurm Workload Manager).

Questions / Problems

In case of questions please contact Jannes Breier jannesbr@pik-potsdam.de or open an issue.

Contributing

Merge requests are welcome, see CONTRIBUTING.md. For major changes, please open an issue first to discuss what you would like to change.

About

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts.

Topics

Resources

Contributing

Stars

10 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

pycoupler: dynamic model coupling of LPJmL

DOICIcodecovPyPI version

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts. pycoupler was written to establish a coupled World-Earth modeling framework, copan:LPJmL, based on copan:CORE and LPJmL. Coupling with LPJmL is possible on an annual basis, i.e. for each year in which LPJmL is in coupling mode, the desired inputs must be passed via pycoupler. LPJmL simulates the corresponding year and returns the desired outputs at the end of the year. The coupled programme can use the output data to generate new inputs for the next year.

Overview

LPJmL Config ⚙ for handling LPJmL configurations

  • Read & write ✍ LPJmL configuration files as LPJmLConfig objects
  • Set options & parameters for spinup, transient and coupled simulations
  • regrid() 🌐 LPJmL output data for country-specific simulations
  • LPJmL can be checked check_lpjml() 🔍 and operated run_lpjml()submit_lpjml() 🚀 with written configuration files

LPJmL Coupler 🔌 to couple LPJmL with other models

  • LPJmLCoupler class to initiate bi-directional, annual coupling to LPJmL
  • 📥 Read output data (annual) from LPJmL
  • 📤 Send input data (annual) to LPJmL

LPJmL Data 💾 for reading and processing LPJmL data

  • xarray-based data classes
  • Read LPJmL netCDF files 🗺 as LPJmLData or LPJmLDataSetobjects
  • LPJmLMetaData for reading and handling LPJmL meta files or header data

Installation

pip install pycoupler

Prerequisites

Please clone and compile LPJmL in advance.
Make sure to also have set the working environment for LPJmL correctly if you are not working on the PIK HPC (with Slurm Workload Manager).

Questions / Problems

In case of questions please contact Jannes Breier jannesbr@pik-potsdam.de or open an issue.

Contributing

Merge requests are welcome, see CONTRIBUTING.md. For major changes, please open an issue first to discuss what you would like to change.

About

An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts.

Topics

Resources

Contributing

Stars

10 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

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pycoupler: dynamic model coupling of LPJmL

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An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts. pycoupler was written to establish a coupled World-Earth modeling framework, copan:LPJmL, based on copan:CORE and LPJmL. Coupling with LPJmL is possible on an annual basis, i.e. for each year in which LPJmL is in coupling mode, the desired inputs must be passed via pycoupler. LPJmL simulates the corresponding year and returns the desired outputs at the end of the year. The coupled programme can use the output data to generate new inputs for the next year.

Overview

LPJmL Config ⚙ for handling LPJmL configurations

  • Read & write ✍ LPJmL configuration files as LPJmLConfig objects
  • Set options & parameters for spinup, transient and coupled simulations
  • regrid() 🌐 LPJmL output data for country-specific simulations
  • LPJmL can be checked check_lpjml() 🔍 and operated run_lpjml()submit_lpjml() 🚀 with written configuration files

LPJmL Coupler 🔌 to couple LPJmL with other models

  • LPJmLCoupler class to initiate bi-directional, annual coupling to LPJmL
  • 📥 Read output data (annual) from LPJmL
  • 📤 Send input data (annual) to LPJmL

LPJmL Data 💾 for reading and processing LPJmL data

  • xarray-based data classes
  • Read LPJmL netCDF files 🗺 as LPJmLData or LPJmLDataSetobjects
  • LPJmLMetaData for reading and handling LPJmL meta files or header data

Installation

pip install pycoupler

Prerequisites

Please clone and compile LPJmL in advance.
Make sure to also have set the working environment for LPJmL correctly if you are not working on the PIK HPC (with Slurm Workload Manager).

Questions / Problems

In case of questions please contact Jannes Breier jannesbr@pik-potsdam.de or open an issue.

Contributing

Merge requests are welcome, see CONTRIBUTING.md. For major changes, please open an issue first to discuss what you would like to change.

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An LPJmL-Python interface for operating LPJmL in a Python environment and coupling it with Python models, programmes or simple programming scripts.

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