Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM)

Pereira, Gabriel; Longo, Karla M.; Freitas, Saulo R.; Mataveli, Guilherme Augusto Verola; Oliveira, Valter; Santos, Paula Resende; Rodrigues, L. F.; Cardozo, Francielle S.

doi:10.1016/j.atmosenv.2022.118954

Cited by 11 publications

(17 citation statements)

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“…The years highlighted in the time series correspond to El Niño episodes, for example, moderate El Niño (2001-2002 cycle), weak El Niño (2007) and especially the extreme droughts that occurred in 2005, 2010 and 2015 in the Amazon [51][52][53]. The years that were above the average also correspond to changes in the orbital sensors for detecting hotspots, for example, at the beginning of the time series AVHRR (Advanced Very High-Resolution Radiometer) was used; from 2002 MODIS was used until mid-2012 [15,18,27]. As for the outliers between June and December, such outliers correspond to the Amazon, since most fires occur between July and November-the dry season [21], a period in which the risks of reduced groundwater and surface moisture are high [22].…”

Section: Discussionmentioning

confidence: 99%

“…The increase in pressure from human activities is one of the main factors that amplifies the consequences of fire actions, increasing the global average duration of fire events [10], where climate warming conditions become indicators that favor the creation of areas more prone to fire and increase its impacts [11]. Extending on a global, regional and local scale, the consequences of fires are a significant concern worldwide, which incorporates in an integrated way the various environmental, socioeconomic and social aspect, causing different impacts: on climate and air quality; on water quality, economic losses and human casualties [12][13][14][15][16][17][18][19]; and on human health [20], among others.…”

Section: Introductionmentioning

confidence: 99%

“…Forest fires in the Legal Amazon result in increased air pollution and worsening of local and regional air quality. In addition, there are interferences in the patterns of the humidity corridor that will feed the watersheds, and such remote effects have been felt in recent decades in the southeast, south and central-west regions of Brazil [17][18][19][20]. In the Amazon, most fires occur between July and November-the dry season [21], a period in which the risks of reduced groundwater and surface moisture are high [22].…”

Section: Introductionmentioning

confidence: 99%

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Dynamics of Fire Foci in the Amazon Rainforest and Their Consequences on Environmental Degradation

et al. 2022

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Burns are common practices in Brazil and cause major fires, especially in the Legal Amazon. This study evaluated the dynamics of the fire foci in the Legal Amazon in Brazil and their consequences on environmental degradation, particularly in the transformation of the forest into pasture, in livestock and agriculture areas, mining activities and urbanization. The fire foci data were obtained from the reference satellites of the BDQueimadas of the CPTEC/INPE for the period June 1998–May 2022. The data obtained were subjected to descriptive and exploratory statistical analysis, followed by a comparison with the PRODES data during 2004–2021, the DETER data (2016–2019) and the ENSO phases during the ONI index for the study area. Biophysical parameters were used in the assessment of environmental degradation. The results showed that El Niño’s years of activity and the years of extreme droughts (2005, 2010 and 2015) stand out with respect to significant increase in fire foci. Moreover, the significant numbers of fire foci indices during August, September, October and November were recorded as 23.28%, 30.91%, 15.64% and 10.34%, respectively, and these were even more intensified by the El Niño episodes. Biophysical parameters maps showed the variability of the fire foci, mainly in the south and west part of the Amazon basin referring to the Arc of Deforestation. Similarly, the states of Mato Grosso, Pará and Amazonas had the highest alerts from PRODES and DETER, and in the case of DETER, primarily mining and deforestation (94.3%) increased the environmental degradation. The use of burns for agriculture and livestock, followed by mining and wood extraction, caused the degradation of the Amazon biome.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamics of Fire Foci in the Amazon Rainforest and Their Consequences on Environmental Degradation

et al. 2022

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“…However, most of the natural emissions computed in ORCHIDEE originate from temperate broad-leaved summer green PFTs. Many studies have demonstrated the importance of the biomass burning events with respect to the emission quantities mainly occurring during the dry season in September-October (Castro Videla et al, 2013;Pereira et al, 2022). IASI inv depicts an important peak in the NH 3 emissions (See Fig.…”

Section: Emission Seasonalitymentioning

confidence: 99%

Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model

Beaudor

Vuichard²,

Lathière³

et al. 2023

Geosci. Model Dev.

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Abstract. Ammonia (NH3) is an important atmospheric constituent. It plays a role in air quality and climate through the formation of ammonium sulfate and ammonium nitrate particles. It has also an impact on ecosystems through deposition processes. About 85 % of NH3 global anthropogenic emissions are related to food and feed production and, in particular, to the use of mineral fertilizers and manure management. Most global chemistry transport models (CTMs) rely on bottom-up emission inventories, which are subject to significant uncertainties. In this study, we estimate emissions from livestock by developing a new module to calculate ammonia emissions from the whole agricultural sector (from housing and storage to grazing and fertilizer application) within the ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems) global land surface model. We detail the approach used for quantifying livestock feed management, manure application, and indoor and soil emissions and subsequently evaluate the model performance. Our results reflect China, India, Africa, Latin America, the USA, and Europe as the main contributors to global NH3 emissions, accounting for 80 % of the total budget. The global calculated emissions reach 44 Tg N yr−1 over the 2005–2015 period, which is within the range estimated by previous work. Key parameters (e.g., the pH of the manure, timing of N application, and atmospheric NH3 surface concentration) that drive the soil emissions have also been tested in order to assess the sensitivity of our model. Manure pH is the parameter to which modeled emissions are the most sensitive, with a 10 % change in emissions per percent change in pH. Even though we found an underestimation in our emissions over Europe (−26 %) and an overestimation in the USA (+56 %) compared with previous work, other hot spot regions are consistent. The calculated emission seasonality is in very good agreement with satellite-based emissions. These encouraging results prove the potential of coupling ORCHIDEE land-based emissions to CTMs, which are currently forced by bottom-up anthropogenic-centered inventories such as the CEDS (Community Emissions Data System).

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“…Many studies demonstrate the importance of the biomass burning events in the emission quantities mainly occurring during the dry season in September -October (? Pereira et al, 2022). IASI inv depict an important peak in the NH 3 emissions (See Fig S9 . in the Supplementary Material) during this time of the year and can be attributed to fire events.…”

Section: Emission Seasonalitymentioning

confidence: 99%

Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model

Beaudor

Vuichard

Lathière

et al. 2022

Preprint

View full text Add to dashboard Cite

Abstract. Ammonia (NH3) is an important atmospheric constituent. It plays a role in air quality and climate through the formation of ammonium sulfate and ammonium nitrate particles. It has also an impact on ecosystems through deposition processes. About 85 % of NH3 global anthropogenic emissions are related to food and feed production and, in particular, to the use of mineral fertilizers and manure management. Most global chemistry transport models rely on bottom-up emission inventories subject to significant uncertainties. In this study, we estimate emissions from livestock by developing a new module to calculate ammonia emissions coming from the whole agricultural sector (from housing and storage to grazing and fertilizer applications) within the global land surface model ORCHIDEE. We detail the approach used for quantifying livestock feeding management, manure applications, and indoor and soil emissions and evaluate the model performance. Our results reflect China, India, Africa, Latin America, the USA, and Europe as the main contributors to the global NH3 emissions accounting for 80 % of the total budget. The global calculated emissions reach 44 Tg/yr over the 2005–2015 period, which is within the range estimated by previous work. Key parameters (pH of the manure, timing of the N application, atmospheric NH3 surface concentration, etc...) which drive the soil emissions have also been tested in order to assess the sensibility of our model. Manure pH is the parameter to which modeled emissions are the most sensitive with a 10 % change in emissions per % change in pH. Even though we found an under-estimation in our emissions over Europe (−26 %) and an over-estimation in the USA (+56 %) compared to previous work, other hot-spot regions are consistent. The calculated emissions seasonality is in very good agreement with satellite-based emissions. These encouraging results prove the potential of coupling ORCHIDEE land-based emissions to CTMs, which are currently forced by bottom-up anthropogenic-centered inventories such as CEDS.

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Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM)

Cited by 11 publications

References 76 publications

Dynamics of Fire Foci in the Amazon Rainforest and Their Consequences on Environmental Degradation

Dynamics of Fire Foci in the Amazon Rainforest and Their Consequences on Environmental Degradation

Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model

Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model

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