From e9a4c9b958d6ddf4eb62060b7bea6e27a922870a Mon Sep 17 00:00:00 2001 From: David LeBauer Date: Wed, 10 Jul 2024 14:45:27 -0400 Subject: [PATCH 1/4] Update README.md Added text from EFI abstract --- profile/README.md | 27 +++++++++++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/profile/README.md b/profile/README.md index 82d59ea..d709500 100644 --- a/profile/README.md +++ b/profile/README.md @@ -1,3 +1,30 @@ # California Cropland Monitoring and Modeling Framework ## About + +The California Cropland Monitoring and Modeling Framework (CCMMF) will be a biogeochemical model and data integration pipeline to generate inventories and future projections of soil carbon (SOC) stocks and greenhouse gas fluxes (GHG) from California’s croplands. +CCMMF will leverage Bayesian techniques to combine heterogeneous datasets into unified wall-to-wall inventories and climate and scenario-based projections. +Data layers will be generated as ensemble projections to facilitate propagation of uncertainty through downstream applications. + +CCMMF will produce new gridded time series of key agronomic practices including planting, harvest, irrigation, and tillage derived from satellite +measurements and agronomic statistics. +The biogeochemistry model will be built on SIPNET, expanded to represent agronomic management, nitrogen cycling, and fluxes of nitrous oxide and methane. +Using remotely sensed practices to drive the model will produce consistent model estimates that do not depend on obtaining records from individual farmers. +The statistical workflow engine will extend the Predictive Ecosystem Analyzer (PEcAn) to support annual updates and both climate-based and management scenario-based projections. + +The combination of a simplified biogeochemistry model that simulates agronomic practices from remote-sensed inputs and an open, consistent, variance-explicit data framework will allow CCMMF to achieve robust estimates of SOC and GHG inventories across lands with highly varied but coarsely measured management. +All data and software that is part of CCMMF will be open, free, and deployable on state computing resources. +This requirement sets a bar for transparency, and a foundation for future innovation and transferability, that is not possible with the current suite of proprietary systems. + +## People + +Chris Black +David LeBauer +Mike Dietze +Rob Kooper +Mike Longfritz +Shawn Serbin + +## Contributing + +## Useful Resources From 975d1714fa86939738b3acbccc5608998a44daae Mon Sep 17 00:00:00 2001 From: David LeBauer Date: Mon, 15 Jul 2024 21:33:33 -0400 Subject: [PATCH 2/4] Update profile/README.md --- profile/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/profile/README.md b/profile/README.md index d709500..93fdd0c 100644 --- a/profile/README.md +++ b/profile/README.md @@ -3,7 +3,7 @@ ## About The California Cropland Monitoring and Modeling Framework (CCMMF) will be a biogeochemical model and data integration pipeline to generate inventories and future projections of soil carbon (SOC) stocks and greenhouse gas fluxes (GHG) from California’s croplands. -CCMMF will leverage Bayesian techniques to combine heterogeneous datasets into unified wall-to-wall inventories and climate and scenario-based projections. +CCMMF will leverage Bayesian techniques to combine model predictions and heterogeneous datasets into unified wall-to-wall inventories and climate and scenario-based projections. Data layers will be generated as ensemble projections to facilitate propagation of uncertainty through downstream applications. CCMMF will produce new gridded time series of key agronomic practices including planting, harvest, irrigation, and tillage derived from satellite From 21d3737898e45505b84e317c6b3f11d56172a0cb Mon Sep 17 00:00:00 2001 From: David LeBauer Date: Wed, 17 Jul 2024 14:19:15 -0400 Subject: [PATCH 3/4] Apply suggestions from code review added changes suggested by @serbinsh --- profile/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/profile/README.md b/profile/README.md index 93fdd0c..087ea47 100644 --- a/profile/README.md +++ b/profile/README.md @@ -2,14 +2,14 @@ ## About -The California Cropland Monitoring and Modeling Framework (CCMMF) will be a biogeochemical model and data integration pipeline to generate inventories and future projections of soil carbon (SOC) stocks and greenhouse gas fluxes (GHG) from California’s croplands. +The California Cropland Monitoring and Modeling Framework (CCMMF) will be a biogeochemical model and data integration pipeline to generate current year inventories and future projections of soil carbon (SOC) stocks and greenhouse gas fluxes (GHG) from California’s croplands. CCMMF will leverage Bayesian techniques to combine model predictions and heterogeneous datasets into unified wall-to-wall inventories and climate and scenario-based projections. Data layers will be generated as ensemble projections to facilitate propagation of uncertainty through downstream applications. -CCMMF will produce new gridded time series of key agronomic practices including planting, harvest, irrigation, and tillage derived from satellite -measurements and agronomic statistics. -The biogeochemistry model will be built on SIPNET, expanded to represent agronomic management, nitrogen cycling, and fluxes of nitrous oxide and methane. -Using remotely sensed practices to drive the model will produce consistent model estimates that do not depend on obtaining records from individual farmers. +CCMMF will produce new gridded time series of key agronomic practices including planting, harvest, irrigation, and tillage at a consistent temporal resolution. +These agronomic management time series will be generated by combining remotely sensed data with agronomic statistics and biogeochemical modeling. +The biogeochemistry model will be built on the SImplified PhotosyNthesis and EvapoTranspiration model (SIPNET), expanded to represent agronomic management, nitrogen cycling, and fluxes of nitrous oxide and methane. +We will utilize existing and newly-derived remote sensing of annual land management and agricultural practices to drive the model will produce consistent model estimates that do not depend on obtaining records from individual farmers. The statistical workflow engine will extend the Predictive Ecosystem Analyzer (PEcAn) to support annual updates and both climate-based and management scenario-based projections. The combination of a simplified biogeochemistry model that simulates agronomic practices from remote-sensed inputs and an open, consistent, variance-explicit data framework will allow CCMMF to achieve robust estimates of SOC and GHG inventories across lands with highly varied but coarsely measured management. From 11bb250541e8a5e55bad45b88c3feafe7e372c82 Mon Sep 17 00:00:00 2001 From: David LeBauer Date: Wed, 17 Jul 2024 14:25:53 -0400 Subject: [PATCH 4/4] Update README.md add affiliations, partners, link to discussions --- profile/README.md | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/profile/README.md b/profile/README.md index 087ea47..b093d16 100644 --- a/profile/README.md +++ b/profile/README.md @@ -18,13 +18,19 @@ This requirement sets a bar for transparency, and a foundation for future innova ## People -Chris Black -David LeBauer -Mike Dietze -Rob Kooper -Mike Longfritz -Shawn Serbin +- Chris Black, Pools and Fluxes LLC +- David LeBauer, The LeBauer Approach LLC and The University of Arizona +- Mike Dietze, Boston University +- Rob Kooper, University of Illinois and National Center for Supercomputing Applications +- Mike Longfritz +- Shawn Serbin, NASA + +## Research Partners and External Stakeholders + +- National Aeronautics and Space Administration +- California Air Resources Board ## Contributing -## Useful Resources +This section will be developed as the project gets under way. In the mean time, feel free to reach out directly to team members or through our [GitHub +Discussions](https://github.com/orgs/ccmmf/discussions).