Monthly Gridded Data Product of Northern Wetland Methane
Emissions Based on Upscaling Eddy Covariance Observations

Peltola, Olli; Vesala, Timo; Gao, Yao; Räty, Olle; Alekseychik, Pavel; Aurela, Mika; Chojnicki, Bogdan H.; Desai, Ankur R.; Dolman, A. J.; Euskirchen, Eugénie; Friborg, Thomas; Goeckede, Mathias; Helbig, Manuel; Humphreys, Elyn; Jackson, Robert B.; Jocher, Georg; Joos, Fortunat; Klatt, Janina; Knox, Sara; Kutzbach, Lars; Lienert, Sebastian; Lohila, Annalea; Mammarella, Ivan; Nadeau, Daniel F.; Nilsson, Mats; Oechel, Walter C.; Peichl, Matthias; Pypker, Thomas G.; Quinton, William L.; Rinne, Janne; Sachs, Torsten; Samson, Mateusz; Schmid, Hans Peter; Sonnentag, Oliver; Wille, Christian; Zona, Donatella; Aalto, Tuula

doi:10.5194/essd-2019-28

Cited by 23 publications

(45 citation statements)

References 64 publications

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“…These CH4 emissions are consistent with estimates from recent upscaled flux measurements (UFMs) over the same period based on a random forest (RF) algorithm and three wetland maps (Peltola et al, 2019): 30.6 ± 9.2 Tg CH4 yr -1 (RF-DYPTOP), 31.7 ± 9.4 Tg CH4 yr -1 (RF-PEATMAP), and 37.6 ± 11.8 Tg CH4 yr -1 (RF-GLWD) ( Table 2). Supplementary Table S2 shows that the UVic ESCM has no preferential agreement with one of the three UFMs.…”

Section: Northern High-latitude Emissionssupporting

confidence: 84%

“…Furthermore, the UVic ESCM simulates total wetland emissions of 4.1 Tg CH4 yr -1 for the West Siberian Lowlands (WSL) over the 2013-2014 period (Table 2). Regional estimates based on the three UFMs are higher (4.9-8.5 Tg CH4 yr -1 ) than our model results over the same period (Peltola et al, 2019), whereas previous observation-based estimates for the WSL suggest regional wetland emissions (3.9 ± 1.3 Tg CH4 yr -1 ) that are similar to our model results (Glagolev et al, 2011). Estimates by inverse models over the WSL are relatively high but comparable to our model estimates (Table 2): 6.1 ± 1.2 Tg CH4 yr -1 (Bohn et al, 2015) and 6.9 ± 3.6 Tg CH4 yr -1 (Thompson et al, 2017).…”

Section: Northern High-latitude Emissionscontrasting

confidence: 80%

“…In terms of mean annual emissions from key source regions, the UVic ESCM simulates 2.9 Tg CH4 yr -1 for the Hudson Bay Lowlands (HBL) over the 2013-2014 period (Table 2). Although these emissions are lower than estimates by the three UFMs (3.1-6.5 Tg CH4 yr -1 ) (Peltola et al, 2019), estimates by inverse models (2.0-3.4 Tg CH4 yr -1 ) over this region are comparable to our model results (Miller et al, 2014;Pickett-Heaps et al, 2011;Thompson et al, 2017).…”

Section: Northern High-latitude Emissionssupporting

confidence: 78%

“…8 shows the spatial distribution of simulated CH4 emissions in comparison to the three UFMs. When compared to each other, the three UFMs exhibit substantial differences primarily attributed to the distinct wetland distributions (Peltola et al, 2019). Considering the general pattern and magnitude of wetland CH4 emissions, the UVic ESCM agrees with either https://doi.org/10.5194/gmd-2020-176 Preprint.…”

Section: Northern High-latitude Emissionsmentioning

confidence: 70%

“…Fig. 9 shows seasonal cycles of CH4 emissions from wetlands north of 45°N over the 2013-2014 period as simulated by the UVic ESCM and estimated from the three UFMs (Peltola et al, 2019). The pattern and magnitude of simulated seasonal emissions compare well to that of the UFMs.…”

Section: Northern High-latitude Emissionsmentioning

confidence: 81%

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WETMETH 1.0: A new wetland methane model for implementation in Earth system models

Nzotungicimpaye¹,

MacDougall²,

Melton³

et al. 2020

Preprint

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Abstract. Wetlands are the single largest natural source of methane (CH4), a powerful greenhouse gas affecting the global climate. In turn, wetland CH4 emissions are sensitive to changes in climate conditions such as temperature and precipitation shifts. However, biogeochemical processes regulating wetland CH4 emissions (namely microbial production and oxidation of CH4) are not routinely included in fully coupled Earth system models that simulate feedbacks between the physical climate, the carbon cycle, and other biogeochemical cycles. This paper introduces a process-based wetland CH4 model (WETMETH) developed for implementation in Earth system models and currently embedded in an Earth system model of intermediate complexity. Here we: (i) describe the wetland CH4 model; (ii) evaluate the model performance against available datasets and estimates from the literature; (iii) analyze the model sensitivity to perturbations of poorly constrained parameters. Historical simulations show that WETMETH is capable of reproducing mean annual emissions consistent with present-day estimates across spatial scales. For the 2008–2017 decade the model simulates global mean wetland emissions of 158.6 Tg CH4 yr1, of which 33.1 Tg CH4 yr1 are from wetlands north of 45° N. WETMETH is highly sensitive to parameters for the microbial oxidation of CH4, which is the least constrained process in the literature.

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Section: Northern High-latitude Emissionssupporting

confidence: 84%

Section: Northern High-latitude Emissionscontrasting

confidence: 80%

Section: Northern High-latitude Emissionssupporting

confidence: 78%

Section: Northern High-latitude Emissionsmentioning

confidence: 70%

Section: Northern High-latitude Emissionsmentioning

confidence: 81%

See 3 more Smart Citations

WETMETH 1.0: A new wetland methane model for implementation in Earth system models

Nzotungicimpaye¹,

MacDougall²,

Melton³

et al. 2020

Preprint

View full text Add to dashboard Cite

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A strong mitigation scenario maintains climate neutrality of northern peatlands

et al. 2022

Self Cite

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Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement

Ganesan

Schwietzke²,

Poulter

et al. 2019

Global Biogeochemical Cycles

Self Cite

102

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The 2015 Paris Agreement of the United Nations Framework Convention on Climate Change aims to keep global average temperature increases well below 2 °C of preindustrial levels in the Year 2100. Vital to its success is achieving a decrease in the abundance of atmospheric methane (CH4), the second most important anthropogenic greenhouse gas. If this reduction is to be achieved, individual nations must make and meet reduction goals in their nationally determined contributions, with regular and independently verifiable global stock taking. Targets for the Paris Agreement have been set, and now the capability must follow to determine whether CH4 reductions are actually occurring. At present, however, there are significant limitations in the ability of scientists to quantify CH4 emissions accurately at global and national scales and to diagnose what mechanisms have altered trends in atmospheric mole fractions in the past decades. For example, in 2007, mole fractions suddenly started rising globally after a decade of almost no growth. More than a decade later, scientists are still debating the mechanisms behind this increase. This study reviews the main approaches and limitations in our current capability to diagnose the drivers of changes in atmospheric CH4 and, crucially, proposes ways to improve this capability in the coming decade. Recommendations include the following: (i) improvements to process‐based models of the main sectors of CH4 emissions—proposed developments call for the expansion of tropical wetland flux measurements, bridging remote sensing products for improved measurement of wetland area and dynamics, expanding measurements of fossil fuel emissions at the facility and regional levels, expanding country‐specific data on the composition of waste sent to landfill and the types of wastewater treatment systems implemented, characterizing and representing temporal profiles of crop growing seasons, implementing parameters related to ruminant emissions such as animal feed, and improving the detection of small fires associated with agriculture and deforestation; (ii) improvements to measurements of CH4 mole fraction and its isotopic variations—developments include greater vertical profiling at background sites, expanding networks of dense urban measurements with a greater focus on relatively poor countries, improving the precision of isotopic ratio measurements of 13CH4, CH3D, 14CH4, and clumped isotopes, creating isotopic reference materials for international‐scale development, and expanding spatial and temporal characterization of isotopic source signatures; and (iii) improvements to inverse modeling systems to derive emissions from atmospheric measurements—advances are proposed in the areas of hydroxyl radical quantification, in systematic uncertainty quantification through validation of chemical transport models, in the use of source tracers for estimating sector‐level emissions, and in the development of time and space resolved national inventories. These and other recommendations are proposed for...

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Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations

Cited by 23 publications

References 64 publications

WETMETH 1.0: A new wetland methane model for implementation in Earth system models

WETMETH 1.0: A new wetland methane model for implementation in Earth system models

A strong mitigation scenario maintains climate neutrality of northern peatlands

Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement

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