Global night-time fire season timing and fire count trends using the ATSR instrument series

Arino, Olivier; Casadio, Stefano; Serpe, Danilo

doi:10.1016/j.rse.2011.05.025

Cited by 58 publications

(57 citation statements)

References 32 publications

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“…El Niño induced dry conditions resulted in an increase in biomass burnings in Northern Australia and Indonesia in September-October 2009, while biomass burning decreased in South America. This is clearly visible, for example, in the monthly global fire maps from the ATSR (Along-Trace Scanning Radiometer) satellite instrument (Arino et al, 2012). Figure 6 shows that the increase in the emissions of NO x and other ozone precursors resulted in enhanced NO 2 over northern Australia, and in relatively high tropospheric ozone columns over the southern tropical Indian Ocean and northern Australia, while the tropospheric ozone columns over the western part of South America are relatively small.…”

Section: Tropical Tropospheric Ozone and No 2 Distributionsmentioning

confidence: 94%

Tropical tropospheric ozone column retrieval for GOME-2

et al. 2014

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Abstract. This paper presents the operational retrieval of tropical tropospheric ozone columns (TOCs) from the Second Global Ozone Monitoring Experiment (GOME-2) instruments using the convective-cloud-differential (CCD) method. The retrieval is based on total ozone and cloud property data provided by the GOME Data Processor (GDP) 4.7, and uses above-cloud and clear-sky ozone column measurements to derive a monthly mean TOC between 20 • N and 20 • S. Validation of the GOME-2 TOC with several tropical ozonesonde sites shows good agreement, with a high correlation between the GOME-2 and sonde measurements, and small biases within ∼ 3 DU. The TOC data have been used in combination with tropospheric NO 2 measurements from GOME-2 to analyse the effect of the 2009-2010 El Niño-Southern Oscillation (ENSO) on the tropospheric ozone distribution in the tropics. El Niño induced dry conditions in September-October 2009 resulted in relatively high tropospheric ozone columns over the southern Indian Ocean and northern Australia, while La Niña conditions in September-October 2010 resulted in a strong increase in tropospheric NO 2 in South America, and enhanced ozone in the eastern Pacific and South America. Comparisons of the GOME-2 tropospheric ozone data with simulations of the ECHAM/MESSy Atmospheric Chemistry (EMAC) model for 2009 El Niño conditions illustrate the usefulness of the GOME-2 TOC measurements in evaluating chemistry climate models (CCMs). Evaluation of CCMs with appropriate satellite observations helps to identify strengths and weaknesses of the model systems, providing a better understanding of driving mechanisms and adequate relations and feedbacks in the Earth atmosphere, and finally leading to improved models.

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Section: Tropical Tropospheric Ozone and No 2 Distributionsmentioning

confidence: 94%

Tropical tropospheric ozone column retrieval for GOME-2

et al. 2014

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“…We used the ATSR World Fire Atlas (WFA) algorithm 2 (Arino et al, 2012) available from 1995 until 2012, and the Thermal Anomalies/Fire product MOD14A1 (Terra) from the MODIS available from 2001 until 2015 (Justice et al, 2002). The ATSR fire algorithm (in the remainder referred to as ATSR) detects active fire data at 22:30 local time (LT), avoiding flagging hot surfaces or solar reflection as fire.…”

Section: Datasets and Methodsmentioning

confidence: 99%

Precipitation–fire linkages in Indonesia (1997–2015)

Fanin

Werf

2017

Biogeosciences

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Abstract. Over the past decades, fires have burned annually in Indonesia, yet the strength of the fire season is for a large part modulated by the El Niño Southern Oscillation (ENSO). The two most recent very strong El Niño years were 2015 and 1997. Both years involved high incidences of fire in Indonesia. At present, there is no consistent satellite data stream spanning the full 19-year record, thereby complicating a comparison between these two fire seasons. We have investigated how various fire and precipitation datasets

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“…The European Space Agency (ESA) World Fire Atlas (Arino and Plummer, 2001;Arino et al, 2012), provides another long continuous global record of active fires using the Along-Track Scanning Radiometer (ATSR) instrument, and has recently been upgraded using a new nighttime algorithm and extended back to 1991. Other polar orbiting satellites, such as Advanced Very High Resolution Radiometer (NOAA-AVHRR), Visible and Infrared Scanner (VIRS) on board the Tropical Rainfall Measuring Mission (TRMM), and geostationary satellites (Meteosat Second Generation (MSG); Geostationary Operational Environmental Satellites (GOES)) extend these observations to better characterize the diurnal cycle of active fires (Pu et al, 2007;Ji and Stocker, 2002;Beaudoin et al, 2007).…”

Section: Firesmentioning

confidence: 99%

Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system

Dolman²,

et al. 2014

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Abstract.A globally integrated carbon observation and analysis system is needed to improve the fundamental understanding of the global carbon cycle, to improve our ability to project future changes, and to verify the effectiveness of policies aiming to reduce greenhouse gas emissions and increase carbon sequestration. Building an integrated carbon observation system requires transformational advances from the existing sparse, exploratory framework towards a dense, robust, and sustained system in all components: anthropogenic emissions, the atmosphere, the ocean, and the terrestrial biosphere. The paper is addressed to scientists, policymakers, and funding agencies who need to have a global picture of the current state of the (diverse) carbon observations. We identify the current state of carbon observations, and the needs and notional requirements for a global integrated carbon observation system that can be built in the next decade. A key conclusion is the substantial expansion of the ground-based observation networks required to reach the high spatial resolution for CO 2 and CH 4 fluxes, and for carbon stocks for addressing policy-relevant objectives, and attributing flux changes to underlying processes in each region. In order to establish flux and stock diagnostics over areas such as the southern oceans, tropical forests, and the Arctic, in situ observations will have to be complemented with remote-sensing measurements. Remote sensing offers the advantage of dense spatial coverage and frequent revisit. A key challenge is to bring remote-sensing measurements to a level of long-term consistency and accuracy so that they can be efficiently combined in models to reduce uncertainties, in synergy with groundbased data. Bringing tight observational constraints on fossil fuel and land use change emissions will be the biggest challenge for deployment of a policy-relevant integrated carbon observation system. This will require in situ and remotely sensed data at much higher resolution and density than currently achieved for natural fluxes, although over a small land area (cities, industrial sites, power plants), as well as the inclusion of fossil fuel CO 2 proxy measurements such as radiocarbon in CO 2 and carbon-fuel combustion tracers. Additionally, a policy-relevant carbon monitoring system should also provide mechanisms for reconciling regional top-down (atmosphere-based) and bottom-up (surface-based) flux estimates across the range of spatial and temporal scales relevant to mitigation policies. In addition, uncertainties for each observation data-stream should be assessed. The success of the system will rely on long-term commitments to monitoring, on improved international collaboration to fill gaps in the current observations, on sustained efforts to improve access to the different data streams and make databases interoperable, and on the calibration of each component of the system to agreed-upon international scales.

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Global night-time fire season timing and fire count trends using the ATSR instrument series

Cited by 58 publications

References 32 publications

Tropical tropospheric ozone column retrieval for GOME-2

Tropical tropospheric ozone column retrieval for GOME-2

Precipitation–fire linkages in Indonesia (1997–2015)

Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system

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