Decreasing seasonal cycle amplitude of methane in the northern high latitudes being driven by lower-latitude changes in emissions and transport

Abstract. Atmospheric methane (CH4) concentrations are rising, which are expected to lead to a corresponding increase in the global seasonal cycle amplitude (SCA) – the difference between its seasonal maximum and minimum values. The reaction between CH4 and its main sink, OH, is dependent on the amount of CH4 and OH in the atmosphere. The concentration of OH varies seasonally, and due to the increasing burden of CH4 in the atmosphere, it is expected that the SCA of CH4 will increase due to the increased removal of CH4 through a reaction with OH in the atmosphere. Spatially varying changes in the SCA could indicate long-term persistent variations in the seasonal sources and sinks, but such SCA changes have not been investigated. Here we use surface flask measurements and a 3D chemical transport model (TOMCAT) to diagnose changes in the SCA of atmospheric CH4 between 1995–2020 and attribute the changes regionally to contributions from different sectors. We find that the observed SCA decreased by 4 ppb (7.6 %) in the northern high latitudes (NHLs; 60–90∘ N), while the SCA increased globally by 2.5 ppb (6.5 %) during this time period. TOMCAT reproduces the change in the SCA at observation sites across the globe. Therefore, we use it to attribute regions which are contributing to the changes in the NHL SCA, which shows an unexpected change in the SCA that differs from the rest of the world. We find that well-mixed background CH4, likely from emissions originating in, and transported from, more southerly latitudes has the largest impact on the decreasing SCA in the NHLs (56.5 % of total contribution to NHLs). In addition to the background CH4, recent emissions from Canada, the Middle East, and Europe contribute 16.9 %, 12.1 %, and 8.4 %, respectively, to the total change in the SCA in the NHLs. The remaining contributions are due to changes in emissions and transport from other regions. The three largest regional contributions are driven by increases in summer emissions from the Boreal Plains in Canada, decreases in winter emissions across Europe, and a combination of increases in summer emissions and decreases in winter emissions over the Arabian Peninsula and Caspian Sea in the Middle East. These results highlight that changes in the observed seasonal cycle can be an indicator of changing emission regimes in local and non-local regions, particularly in the NHL, where the change is counterintuitive.

[1]  R. Parker,et al.  Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate , 2022, Nature communications.

[2]  D. Jacob,et al.  A gridded inventory of Canada’s anthropogenic methane emissions , 2021, Environmental Research Letters.

[3]  John B. Miller,et al.  Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions , 2021, Communications Earth & Environment.

[4]  Shamil Maksyutov,et al.  Regional trends and drivers of the global methane budget , 2021, Global change biology.

[5]  Luana S. Basso,et al.  Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 , 2021, Atmospheric Chemistry and Physics.

[6]  S. Montzka,et al.  A three-dimensional-model inversion of methyl chloroform to constrain the atmospheric oxidative capacity , 2021 .

[7]  R. Weiss,et al.  Methyl Chloroform Continues to Constrain the Hydroxyl (OH) Variability in the Troposphere , 2021, Journal of Geophysical Research: Atmospheres.

[8]  T. Borsdorff,et al.  Rain-fed pulses of methane from East Africa during 2018–2019 contributed to atmospheric growth rate , 2021, Environmental Research Letters.

[9]  A. Bloom,et al.  Exploring constraints on a wetland methane emission ensemble (WetCHARTs) using GOSAT observations , 2020, Biogeosciences.

[10]  J. Sheng,et al.  Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) observations , 2020, Atmospheric Chemistry and Physics.

[11]  A. Bloom,et al.  Exploring Constraints on a Wetland Methane Emission Ensemble (WetCHARTs) using GOSAT Satellite Observations , 2020 .

[12]  J. Thepaut,et al.  The ERA5 global reanalysis , 2020, Quarterly Journal of the Royal Meteorological Society.

[13]  C. Sweeney,et al.  Siberian and temperate ecosystems shape Northern Hemisphere atmospheric CO2 seasonal amplification , 2019, Proceedings of the National Academy of Sciences.

[14]  Thomas S. Weber,et al.  Global ocean methane emissions dominated by shallow coastal waters , 2019, Nature Communications.

[15]  J. Canadell,et al.  Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period , 2019, Atmospheric Chemistry and Physics.

[16]  S. Michel,et al.  Very Strong Atmospheric Methane Growth in the 4 Years 2014–2017: Implications for the Paris Agreement , 2019, Global Biogeochemical Cycles.

[17]  Mohd Talib Latif,et al.  Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study , 2019, Remote Sensing of Environment.

[18]  R. Parker,et al.  Attribution of recent increases in atmospheric methane through 3-D inverse modelling , 2018, Atmospheric Chemistry and Physics.

[19]  R. Parker,et al.  Tropical land carbon cycle responses to 2015/16 El Niño as recorded by atmospheric greenhouse gas and remote sensing data , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.

[20]  G. Etiope,et al.  Gridded maps of geological methane emissions and their isotopic signature , 2018, Earth System Science Data.

[21]  L. Gross Code and Data availability , 2018 .

[22]  M.,et al.  Changes [I] , 2018, The Complete Poems of William Barnes, Vol. 2: Poems in the Modified Form of the Dorset Dialect.

[23]  R. Weiss,et al.  History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE) , 2018, Earth System Science Data.

[24]  Hartmut Boesch,et al.  Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations , 2018, Remote Sensing of Environment.

[25]  P. Patra,et al.  Temporal Variations of the Mole Fraction, Carbon, and Hydrogen Isotope Ratios of Atmospheric Methane in the Hudson Bay Lowlands, Canada , 2018 .

[26]  J. Randerson,et al.  Global fire emissions estimates during 1997–2016 , 2017 .

[27]  D. Jacob,et al.  A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0) , 2017 .

[28]  F. Murguia-Flores,et al.  Soil Methanotrophy Model (MeMo v1.0): a process-based model to quantify global uptake of atmospheric methane by soil , 2017, Geoscientific Model Development.

[29]  Jens Mühle,et al.  Role of atmospheric oxidation in recent methane growth , 2017, Proceedings of the National Academy of Sciences.

[30]  Christian Frankenberg,et al.  Ambiguity in the causes for decadal trends in atmospheric methane and hydroxyl , 2017, Proceedings of the National Academy of Sciences.

[31]  Samuel Hammer,et al.  Inverse modelling of European CH4 emissions during 2006–2012 using different inverse models and reassessed atmospheric observations , 2017 .

[32]  Philippe Ciais,et al.  Inventory of anthropogenic methane emissions in mainland China from 1980 to 2010 , 2016 .

[33]  Philippe Bousquet,et al.  Rising atmospheric methane: 2007–2014 growth and isotopic shift , 2016 .

[34]  M. Chipperfield,et al.  The TOMCAT global chemical transport model v1.6: description of chemical mechanism and model evaluation , 2016 .

[35]  V. Brovkin,et al.  The Global Methane Budget 2000–2017 , 2016, Earth System Science Data.

[36]  Luana S. Basso,et al.  Contribution of regional sources to atmospheric methane over the Amazon Basin in 2010 and 2011 , 2016 .

[37]  Andrew C. Manning,et al.  Investigating bias in the application of curve fitting programs to atmospheric time series , 2014 .

[38]  M. Chipperfield,et al.  Development of a variational flux inversion system (INVICAT v1.0) using the TOMCAT chemical transport model , 2013 .

[39]  Louis Bodmer ACKNOWLEDGEMENTS , 2013, Journal of Biosciences.

[40]  Shamil Maksyutov,et al.  TransCom model simulations of CH4 and related species: linking transport, surface flux and chemical loss with CH4 variability in the troposphere and lower stratosphere , 2011 .

[41]  Peter Bergamaschi,et al.  The global chemistry transport model TM5: description and evaluation of the tropospheric chemistry version 3.0 , 2010 .

[42]  E. Kort,et al.  Magnitude and seasonality of wetland methane emissions from the Hudson Bay Lowlands (Canada) , 2010 .

[43]  D. Davydov,et al.  Continuous measurements of methane from a tower network over Siberia , 2010 .

[44]  J. F. Meirink,et al.  Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: method and comparison with synthesis inversion , 2008 .

[45]  J. Randerson,et al.  Global Fire Emissions Database, Version 4.1 (GFEDv4) , 2006 .

[46]  M. Chipperfield,et al.  New version of the TOMCAT/SLIMCAT off‐line chemical transport model: Intercomparison of stratospheric tracer experiments , 2006 .

[47]  Shamil Maksyutov,et al.  Analysis and presentation of in situ atmospheric methane measurements from Cape Ochi‐ishi and Hateruma Island , 2002 .

[48]  Michael B. McElroy,et al.  Three-dimensional climatological distribution of tropospheric OH: Update and evaluation , 2000 .

[49]  Daniel J. Jacob,et al.  Introduction to Atmospheric Chemistry , 1999 .

[50]  Edward J. Dlugokencky,et al.  The growth rate and distribution of atmospheric methane , 1994 .

[51]  P. Tans,et al.  Atmospheric carbon dioxide at Mauna Loa Observatory: 2. Analysis of the NOAA GMCC data, 1974–1985 , 1989 .

[52]  P. Stott,et al.  Human Influence on Seasonal Precipitation in Europe , 2022 .

[53]  J. Saiz,et al.  Right‐sided non‐recurrent laryngeal nerve without any vascular anomaly: an anatomical trap , 2021, ANZ journal of surgery.

[54]  Luana S. Basso,et al.  Large and increasing methane emissions from Eastern Amazonia derived from satellite data, 2010–2018 , 2020 .

[55]  E. Dlugokencky,et al.  Is the amplitude of the methane seasonal cycle changing , 1997 .