GLASS projects are listed below, along with contact information for reaching the project coordinators.
Contact: Hyungjun Kim
GSWP3 is an ongoing terrestrial modeling activity that produces a long-term land reanalysis and investigates the changes of the energy-water-carbon cycles through the 20th and 21st century. A wide range of state-of-the-art land surface, hydrologic, and ecological models make up super-ensemble land simulations combining big data, and are evaluated by process-wise model verifications and uncertainty estimations. GSWP3 also plays a role as a liaison, sharing experiment designs and input datasets as a standard for the broader modeling community.
Project for the Intercomparison of Land Data Assimilation Systems (PILDAS)
Contacts: Rolf Reichle and Jean-François Mahfouf
PILDAS‐1 will produce improved global data sets of land surface fields by developing a framework for land data assimilation (LDAS) comparison and evaluation.
In ALMIP2, land surface, vegetation, and hydrological models will be evaluated and inter-compared in order to identify key processes that are not well-modeled over West Africa, and to offer guidelines for future model development for all three classes of models. Phase two deals with local to meso scales.
Protocol for the Analysis of Land Surface models (PALS) Land Surface Model Benchmarking Evaluation Project (PLUMBER)
Contact: Martin Best
PALS PLUMBER is a model comparison experiment that uses out-of-sample empirical models as benchmarks.
The objective of LUCID is to quantify the impacts of land-use-induced land cover changes on the evolution of climate between the pre-industrial epoch and today. Phase 1 is complete and LUCID-2 is underway.
Contact: Joe Santanello
The LoCo project’s goal is to understand, model, and predict the role of local land-atmosphere coupling in the evolution of land-atmosphere fluxes and state variables, including clouds.
Contact: Ahmed Tawfik
The Coupling Metrics Toolkit (CoMeT) brings together many commonly used land-atmosphere coupling metrics into a single, standardized set of Fortran 90 modules. Calculate everything from soil moisture retention over time, to the link between convective initiation and surface properties.
The second phase of GLACE is aimed at quantifying, across a broad range of state-of-the-art forecast models, the subseasonal forecast skill associated with the initialization of land surface state variables. The design is based upon the successful pilot experiment (GLACE-1) and is built around a comprehensive suite of 60-day forecasts that are evaluated against observed precipitation and air temperature fields.
The LS3MIP experiment intends to assess the performance of current land surface modules of Earth System Models and quantify land surface feedbacks in a changing climate. Its goal is to provide a comprehensive assessment of land surface-, snow-, and soil moisture-climate feedbacks, and to diagnose systematic biases in the land modules of current ESMs using constrained land-module only experiments.