Contributors |
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xv | |
Foreword |
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xxi | |
Preface |
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xxiii | |
Acknowledgments |
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xxv | |
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1 Balancing greenhouse gas sources and sinks: Inventories, budgets, and climate policy |
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1 The human perturbation of the carbon cycle and other biogeochemical cycles |
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3 | (1) |
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2 Inventories of anthropogenic GHG: The foundation of the Kyoto protocol and the Paris agreement |
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4 | (5) |
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3 GHG budgets: Constraining GHG sources and sinks |
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9 | (3) |
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4 Supporting the global stocktake and the net-zero emissions policy goals |
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12 | (2) |
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5 A new generation of technologies and observations to constrain global and regional GHG budgets |
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14 | (4) |
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6 Extending the carbon budget and accounting frameworks to meet broader policy information needs |
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18 | (13) |
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22 | (1) |
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22 | (9) |
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2 CO2 emissions from energy systems and industrial processes: Inventories from data- and proxy-driven approaches |
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31 | (3) |
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2 Overview of inventory approaches |
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34 | (9) |
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2.1 Emission estimation from energy statistics |
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34 | (3) |
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37 | (2) |
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39 | (1) |
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2.4 Spatial and temporal emission disaggregation |
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39 | (3) |
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42 | (1) |
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43 | (4) |
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43 | (3) |
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3.2 Spatial and temporal modeling |
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46 | (1) |
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3.3 Other sources of uncertainty |
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47 | (1) |
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4 Examples of emission estimates and products |
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47 | (5) |
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47 | (1) |
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48 | (1) |
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48 | (1) |
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49 | (1) |
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4.5 Global carbon project |
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50 | (1) |
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4.6 GCP gridded fossil emissions dataset |
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50 | (2) |
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52 | (7) |
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52 | (4) |
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56 | (3) |
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3 Bottom-up approaches for estimating terrestrial GHG budgets: Bookkeeping, process-based modeling, and data-driven methods |
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1 Introduction to bottom-up (BU) approaches |
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59 | (5) |
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1.1 Definitions and discrepancies |
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63 | (1) |
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2 Bottom-up methodologies |
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64 | (12) |
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2.1 Stock-change versus flux-based accounting |
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64 | (2) |
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2.2 Bookkeeping methodology |
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66 | (4) |
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2.3 Process-based methodology |
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70 | (4) |
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2.4 Data-driven methodologies |
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74 | (2) |
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3 Relevance to Stock-Change and flux-based accounting |
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76 | (2) |
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77 | (1) |
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3.2 Comparisons between approaches |
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78 | (1) |
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78 | (9) |
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78 | (9) |
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87 | (2) |
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2 Measurements of greenhouse gases in the atmosphere |
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89 | (6) |
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2.1 Ground-based measurements |
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89 | (2) |
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2.2 Satellite measurements |
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91 | (4) |
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95 | (5) |
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3.1 Modeling atmospheric transport and chemistry |
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95 | (2) |
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3.2 Types of atmospheric transport models |
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97 | (1) |
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3.3 Relating surface fluxes to atmospheric mixing ratios |
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98 | (2) |
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100 | (17) |
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4.1 Bayes' theorem and its application to optimizing fluxes |
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100 | (3) |
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4.2 Introduction to different optimization methods |
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103 | (7) |
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4.3 Ensembles for estimating the posterior uncertainty |
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110 | (1) |
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4.4 Estimating prior flux and observation uncertainties |
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111 | (4) |
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115 | (2) |
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5 Application to land biosphere CO2 fluxes (NEE) |
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117 | (3) |
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6 Application to fossil fuel emissions of CO2 |
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120 | (6) |
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7 Application to CH4 fluxes |
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126 | (4) |
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8 Application to other GHG fluxes |
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130 | (2) |
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132 | (5) |
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132 | (3) |
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135 | (2) |
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10 Validation of flux estimates from inversions |
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137 | (2) |
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11 Summary and conclusions |
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139 | (20) |
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140 | (1) |
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140 | (19) |
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5 Current knowledge and uncertainties associated with the Arctic greenhouse gas budget |
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1 Introduction and background: Arctic ecosystems |
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159 | (3) |
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162 | (21) |
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2.1 Components of the greenhouse gas budget of terrestrial arctic ecosystems |
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162 | (1) |
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2.2 Methodologies for flux estimation in the Arctic |
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163 | (9) |
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2.3 Top-down and bottom-up methods for estimating carbon fluxes in the Arctic |
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172 | (1) |
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2.4 Terrestrial ecosystem and land surface models in the Arctic |
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173 | (3) |
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2.5 Review of Arctic GHG estimates by sector and associated key uncertainties |
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176 | (7) |
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3 Uncertainty and reducing uncertainty |
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183 | (1) |
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4 Perspective and future opportunities |
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184 | (19) |
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4.1 The current status of the GHG budget of the arctic terrestrial and marine environments |
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184 | (1) |
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4.2 Future perspectives: Improving the Arctic GHG budget |
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185 | (1) |
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186 | (1) |
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186 | (17) |
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1 Carbon in boreal forests |
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203 | (3) |
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1.1 The major components of the boreal forest carbon budget |
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205 | (1) |
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2 Estimating carbon stocks and fluxes in boreal forests |
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206 | (6) |
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2.1 Sampling boreal forest carbon stocks |
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208 | (2) |
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2.2 Sampling boreal ecosystem carbon fluxes |
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210 | (1) |
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2.3 Carbon emissions from wildfire |
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210 | (1) |
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2.4 Carbon in the aquatic system |
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211 | (1) |
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3 Carbon accounting in boreal forests |
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212 | (5) |
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3.1 National forest inventories |
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213 | (1) |
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3.2 Carbon in harvested wood products |
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214 | (1) |
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3.3 Managed vs unmanaged forest lands |
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215 | (1) |
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3.4 The role of remote sensing in boreal forest inventories |
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216 | (1) |
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4 Regional-scale modeling |
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217 | (1) |
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218 | (19) |
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221 | (1) |
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221 | (16) |
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7 State of science in carbon budget assessments for temperate forests and grasslands |
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1 Introduction and background |
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237 | (2) |
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2 Methodologies for flux estimations in temperate regions |
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239 | (13) |
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2.1 Net carbon flux estimations |
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239 | (4) |
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2.2 Components of the carbon budget in temperate regions |
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243 | (9) |
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3 Review of the carbon budget of temperate forests and grasslands |
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252 | (5) |
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3.1 Adjustments for the carbon budget |
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253 | (2) |
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3.2 Carbon budget assessment |
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255 | (2) |
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4 Uncertainties in carbon fluxes |
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257 | (5) |
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4.1 Reliability and uncertainty in observational methods |
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258 | (3) |
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4.2 Uncertainty in components of the temperate carbon budget |
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261 | (1) |
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5 Perspective and future opportunities for policy decision-making |
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262 | (9) |
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5.1 Progress over past decades |
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262 | (1) |
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263 | (1) |
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5.3 Toward policy-driven carbon budgets |
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263 | (1) |
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264 | (7) |
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8 Tropical ecosystem greenhouse gas accounting |
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1 Introduction and background: Tropical ecosystems |
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271 | (2) |
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271 | (1) |
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1.2 Understanding changes in carbon cycling and storage |
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272 | (1) |
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2 GHG budget in the tropics |
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273 | (20) |
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2.1 Components of the greenhouse gas budget tropical ecosystems |
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273 | (2) |
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2.2 Methodologies for flux estimation in the tropics |
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275 | (8) |
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2.3 Top-down and bottom-up methods for estimating carbon fluxes in the tropics (modeling) |
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283 | (2) |
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2.4 Terrestrial ecosystem and land surface processes in the tropics |
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285 | (3) |
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2.5 GHG emissions from tropical forest deforestation and degradation |
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288 | (1) |
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2.6 Review of tropical GHG estimates by sector |
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289 | (4) |
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3 Uncertainty and reducing uncertainty |
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293 | (3) |
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4 Perspective and future opportunities |
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296 | (15) |
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298 | (1) |
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298 | (13) |
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1 Introduction and background: Global drylands and semiarid ecosystems |
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311 | (3) |
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312 | (1) |
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313 | (1) |
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314 | (12) |
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2.1 Components of the greenhouse gas budget of semiarid ecosystems |
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314 | (2) |
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2.2 In situ based methodologies for flux estimation in semiarid ecosystems |
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316 | (2) |
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2.3 Atmospheric inversion monitoring of semiarid ecosystems |
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318 | (1) |
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319 | (3) |
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2.5 Land surface modeling of semiarid ecosystems |
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322 | (1) |
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323 | (3) |
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326 | (11) |
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327 | (1) |
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327 | (10) |
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10 Urban environments and trans-boundary linkages |
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1 From science to policy for urban carbon accounting |
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337 | (2) |
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2 Four carbon accounting approaches for individual cities |
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339 | (24) |
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2.1 Purely territorial carbon accounting approaches |
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340 | (8) |
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2.2 Community-wide trans-boundary infrastructure supply-chain carbon footprinting approaches |
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348 | (10) |
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2.3 Consumption-based carbon footprinting approaches |
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358 | (4) |
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2.4 Total community-wide carbon footprinting |
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362 | (1) |
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3 Accounting biogenic carbon from land use and land-use change in individual cities |
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363 | (3) |
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4 From individual cities to initiatives for all urban areas' carbon accounting |
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366 | (9) |
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370 | (5) |
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375 | (4) |
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2 Carbon stocks, flows, and emissions in agricultural systems |
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379 | (4) |
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379 | (2) |
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381 | (2) |
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2.3 Lateral transport and supply chains |
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383 | (1) |
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383 | (7) |
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3.1 Inventories of agricultural soil C stock changes, N2O and CH4 emissions |
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384 | (3) |
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3.2 Inventories of emissions from livestock systems |
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387 | (1) |
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3.3 Lateral transport and supply chains |
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387 | (2) |
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3.4 Top-down inversion methods |
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389 | (1) |
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4 Improving regional GHG inventories for agriculture |
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390 | (2) |
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392 | (11) |
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393 | (1) |
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393 | (10) |
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12 Greenhouse gas balances in coastal ecosystems: Current challenges in "blue carbon" estimation and significance to national greenhouse gas inventories |
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403 | (1) |
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2 What limits traditional AFOLU estimation approaches in coastal ecosystems? |
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404 | (3) |
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3 IPCC guidelines for national-scale estimation of coastal wetland carbon |
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407 | (5) |
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4 Improving application of the IPCC NGGI guidelines in the United States |
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412 | (7) |
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5 Implications for the scale of GHG estimation |
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419 | (2) |
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6 Implications for carbon cycle science on coastlines |
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421 | (1) |
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421 | (6) |
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422 | (1) |
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422 | (5) |
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427 | (1) |
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2 The ocean as a sink/source of GHGs to the atmosphere |
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428 | (3) |
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3 Preindustrial (or natural) carbon budget based on inverse estimates |
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431 | (3) |
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4 Anthropogenic perturbations and the contemporary global carbon sink |
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434 | (4) |
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5 Regional marine carbon sink |
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438 | (3) |
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6 Storage of anthropogenic carbon |
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441 | (1) |
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7 Variability of the ocean GHG uptake |
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442 | (3) |
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445 | (11) |
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447 | (9) |
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Section D Forward Looking |
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14 Applications of top-down methods to anthropogenic GHG emission estimation |
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456 | (1) |
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2 Using inverse estimates of non-CO2 GHG emissions in national reporting |
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456 | (2) |
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3 Methane emissions detection at facility and basin scale |
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458 | (5) |
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4 Large point source emission monitoring using satellite observations |
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463 | (2) |
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5 Precision and sampling requirements for future satellite observations |
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465 | (2) |
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6 Developing global high-resolution transport modeling capability for analysis of the satellite and ground-based observations of anthropogenic greenhouse gas emission |
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467 | (4) |
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7 Developing high-resolution emission inventories for inverse modeling |
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471 | (3) |
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474 | (9) |
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475 | (8) |
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15 Earth system perspective |
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1 Introduction and background: What is an earth system model? |
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483 | (2) |
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2 Carbon cycle modeling in the context of earth system models |
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485 | (3) |
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3 Data assimilation in earth system models |
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488 | (3) |
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3.1 Data assimilation related to numerical weather prediction |
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489 | (1) |
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3.2 Data assimilation related to land and ocean carbon cycle |
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489 | (1) |
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3.3 Data assimilation related to atmospheric carbon observations |
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490 | (1) |
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4 Future direction for carbon cycle science, earth system modeling, and DA applications |
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491 | (1) |
References |
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492 | (5) |
Index |
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497 | |