Abstract

Abstract. Human land-use activities have resulted in large changes to the Earth's surface, with resulting implications for climate. In the future, land-use activities are likely to expand and intensify further to meet growing demands for food, fiber, and energy. The Land Use Model Intercomparison Project (LUMIP) aims to further advance understanding of the impacts of land-use and land-cover change (LULCC) on climate, specifically addressing the following questions. (1) What are the effects of LULCC on climate and biogeochemical cycling (past–future)? (2) What are the impacts of land management on surface fluxes of carbon, water, and energy, and are there regional land-management strategies with the promise to help mitigate climate change? In addressing these questions, LUMIP will also address a range of more detailed science questions to get at process-level attribution, uncertainty, data requirements, and other related issues in more depth and sophistication than possible in a multi-model context to date. There will be particular focus on the separation and quantification of the effects on climate from LULCC relative to all forcings, separation of biogeochemical from biogeophysical effects of land use, the unique impacts of land-cover change vs. land-management change, modulation of land-use impact on climate by land–atmosphere coupling strength, and the extent to which impacts of enhanced CO2 concentrations on plant photosynthesis are modulated by past and future land use.LUMIP involves three major sets of science activities: (1) development of an updated and expanded historical and future land-use data set, (2) an experimental protocol for specific LUMIP experiments for CMIP6, and (3) definition of metrics and diagnostic protocols that quantify model performance, and related sensitivities, with respect to LULCC. In this paper, we describe LUMIP activity (2), i.e., the LUMIP simulations that will formally be part of CMIP6. These experiments are explicitly designed to be complementary to simulations requested in the CMIP6 DECK and historical simulations and other CMIP6 MIPs including ScenarioMIP, C4MIP, LS3MIP, and DAMIP. LUMIP includes a two-phase experimental design. Phase one features idealized coupled and land-only model simulations designed to advance process-level understanding of LULCC impacts on climate, as well as to quantify model sensitivity to potential land-cover and land-use change. Phase two experiments focus on quantification of the historic impact of land use and the potential for future land management decisions to aid in mitigation of climate change. This paper documents these simulations in detail, explains their rationale, outlines plans for analysis, and describes a new subgrid land-use tile data request for selected variables (reporting model output data separately for primary and secondary land, crops, pasture, and urban land-use types). It is essential that modeling groups participating in LUMIP adhere to the experimental design as closely as possible and clearly report how the model experiments were executed.

Highlights

  • Historic land-cover and land-use change has dramatically altered the character of the Earth’s surface, directly impacting climate and perturbing natural biogeochemical cycles

  • (1) What are the effects of land-use and land-cover change (LULCC) on climate and biogeochemical cycling? (2) What are the impacts of land management on surface fluxes of carbon, water, and energy, and are there regional land-management strategies with the promise to help mitigate climate change? In addressing these questions, Land Use Model Intercomparison Project (LUMIP) will address a range of more detailed science questions to get at process-level attribution, uncertainty, data requirements, and other related issues in more depth and sophistication than possible in a multi-model context to date

  • Substantial disagreement exists across models in terms of their simulated regional climate response to LULCC (Kumar et al, 2013; Pitman et al, 2009), and some observed effects do not appear to be captured by models (Lejeune et al, 2016), contributing to a lack of confidence in model projections of regional climate change

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Summary

Introduction

Historic land-cover and land-use change has dramatically altered the character of the Earth’s surface, directly impacting climate and perturbing natural biogeochemical cycles. The impact of land-cover change on, for example, global mean surface air temperature, has been and is projected to continue to be relatively small (Brovkin et al, 2013; Lawrence et al, 2012), but, regionally, climate change due to deforestation can be as large as or larger than that resulting from increases in greenhouse gas emissions (de Noblet-Ducoudré et al, 2012). LUMIP scientific priorities and model experiments have been developed in consultation with several existing model intercomparison activities and research programs that focus on the role of land use in climate, including the Land-Use and Climate, IDentification of robust impacts project (LUCID, de Noblet-Ducoudré et al, 2012; Pitman et al, 2009), the Land-use change: assessing the net climate forcing, and options for climate change mitigation and adaptation project (LUC4C, http://luc4c.eu/), the trends in net land carbon exchange project (TRENDY, http://dgvm.ceh.ac.uk/node/9), and the Global Soil Wetness Project (GSWP3). We will reference these cross-MIP interactions throughout this paper, where applicable

LUMIP activities
Relevance of LUMIP to CMIP6 questions and WCRP Grand Challenges
Experimental design and description
Phase 1 experiments
Phase 2 experiments
Land-use metrics
Radiative forcing
Modulation of the land-use change signal by land–atmosphere coupling strength
Extremes
Subgrid data reporting
Types of land-use tiles
Requested variables and rules for reporting
GFDL LM3 example
Findings
Summary
Full Text
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