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Updated: Jan 21, 2026

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
Published on: June 12, 2016
Contrasting Biogenic Isoprene Emission Responses to La Niña and El Niño Driven by Temperature: Insights from
Hui Li1,2, Philippe Ciais1, Pramod Kumar1
1Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette F-91191, France.
Abstract:
Isoprene strongly influences atmospheric chemistry by consuming hydroxyl radicals, forming secondary organic aerosols, and affecting methane's lifetime. Accurate monitoring of its emissions is thus essential for understanding biosphere-atmosphere feedbacks, particularly under climate extremes. We develop a regression-based inversion framework to estimate global monthly biogenic isoprene emissions (2019-2024), integrating TROPOspheric Monitoring Instrument (TROPOMI) HCHO columns and LMDZ-INCA atmospheric transport model. Our inversion yields a global annual mean emission of 456 ± 249 TgC yr-1, with a minimum in 2022 (437 TgC, 1.4σ below multiyear mean) and a peak in 2024 (477 TgC, 1.5σ above), closely tracking global annual land surface temperature variations (R = 0.95). Emission anomalies are most pronounced in tropical regions contributing over 80% of global total anomalies during the 2020-2023 La Niña (-30 TgC), 2023-2024 El Niño (+11 TgC), and 2024 Northern Hemisphere extreme warming events (+15 TgC). Attribution analysis confirms surface temperature as the dominant driver of biogenic isoprene anomalies, with increasing sensitivity in Northern high-latitude zones under warming conditions. The updated emissions improve spatial agreement and reduce bias in LMDZ-INCA simulations against independent satellite-based isoprene and ground-based HCHO observations. This work delivers the first HCHO-constrained global isoprene emission data set through 2024, supporting air quality, oxidant budget, and climate feedback studies.
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