Online analysis enhances use of NASA Earth science data

Acker, James G.; Leptoukh, G.

doi:10.1029/2007eo020003

Cited by 744 publications

(455 citation statements)

References 5 publications

Supporting

Mentioning

421

Contrasting

Unclassified

Order By: Relevance

“…Late wet monsoon season onsets also depend on largescale forcing (Marengo et al, 2001;Zhang et al, 2008). As previously discussed in Section 4 subsidence enhancement and circulation changes due to large-scale forcing are likely to be the primary mechanism for the persistence and intensity of (Acker and Leptoukh, 2007) and is known as MODIS level-3 monthly mean gridded product at the horizontal regular resolution of 1°in latitude by 1°in longitude.…”

Section: The Effect Of Aerosol On Cloud Formationmentioning

confidence: 99%

Climate diagnostics of three major drought events in the Amazon and illustrations of their seasonal precipitation predictions

Coelho

Cavalcanti

Costa

et al. 2012

Meteorological Applications

View full text Add to dashboard Cite

ABSTRACT:The Amazon has a well-defined wet austral summer monsoon and dry winter monsoon precipitation regime and experienced a sequence of drought events in the last 13 years. This study performs a comparative assessment of observed and predicted climate conditions during the three most recent drought events in the Amazon, in 1997Amazon, in -1998Amazon, in , 2004Amazon, in -2005Amazon, in and 2009Amazon, in -2010, with emphasis on how these events affected the regional monsoon-like precipitation regime. A century long Negro River level time series at Manaus is investigated, applying extreme values theory for estimating return periods of these major drought events. Possible teleconnections of river levels at Manaus and sea surface temperature at remote regions are explored. Large scale oceanic and atmospheric conditions are investigated to highlight the mechanisms associated with the observed drought conditions, particularly during the dry monsoon season. Satellite estimates are used for diagnosing biomass burning aerosol and discuss possible contributions to the observed precipitation deficits in the 2005 and 2010 drought events during the dry monsoon season. The study is concluded with an analysis of the performance of seasonal precipitation predictions for the dry monsoon seasons of July to September 1998September , 2005September and 2010 produced with the operational seasonal prediction system used at the Center for Weather Forecasts and Climate Studies (CPTEC) of the Brazilian National Institute for Space Research (INPE). This system was capable of producing 1 month in advance drought warning for the three investigated events, relevant for helping the government and local population make decisions for reducing drought impacts in the Amazon region.

show abstract

Section: The Effect Of Aerosol On Cloud Formationmentioning

confidence: 99%

Climate diagnostics of three major drought events in the Amazon and illustrations of their seasonal precipitation predictions

Coelho

Cavalcanti

Costa

et al. 2012

Meteorological Applications

View full text Add to dashboard Cite

show abstract

“…The satellite data products used in this study were obtained from the NASA Giovanni web interface (http://giovanni.gsfc.nasa.gov/, last access 26 May 2017), developed and maintained by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) (Acker and Leptoukh, 2007 Jun 2016) satellites. The obtained Aqua and Terra time series were averaged.…”

Section: Satellite Data and Analysismentioning

confidence: 99%

“…S4 (Draxler and Hess, 1998;Acker and Leptoukh, 2007;Justice et al, 2011). The strong pollution at the ATTO site resulted from the presence of intense fires in the southern Amazon and a temporary 'swing' of the BT track over the fire locations.…”

mentioning

confidence: 99%

“…The NCCN(S,D) size distributions show that supersaturations S ≤ 0.3 % activate particles mostly in the accumulation mode range, whereas S > 0.3 % starts activating the Aitken mode population. The κ(S,Da) size distribution shows κAcc reaching rather high levels 5 Note that the LRT3 event has also been chosen for in-depth case study analysis in Moran-Zuloaga et al (2017), where it is called 2014_7. Accordingly, a number of additional aspects and observations concerning the LRT3 event, which are not explicitly discussed in this work, can be found there.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Long-term observations of cloud condensation nuclei in the Amazon rain forest – Part 2: Variability and characteristic differences under near-pristine, biomass burning, and long-range transport conditions

Pöhlker

Ditas

Saturno

et al. 2017

Preprint

View full text Add to dashboard Cite

Size-resolved measurements of atmospheric aerosol and cloud condensation nuclei (CCN) concentrations and hygroscopicity were conducted at the remote Amazon Tall Tower Observatory (ATTO) in the central Amazon Basin over a full seasonal cycle (Mar 2014 -Feb 2015. In a companion part 1 paper, we presented an in-depth CCN characterization based on annually as well as seasonally averaged time intervals and discuss different para-5 metrization strategies to represent the Amazonian CCN cycling in modelling studies (M. Pöhlker et. al. 2016b).The present part 2 study analyzes the aerosol and CCN variability in original time resolution and, thus, resolves aerosol advection and transformation for the following case studies, which represent the most characteristic states of the Amazonian atmosphere: ), a mostly organic particle composition, and relatively low hygroscopicity levels (κAit = 0.12 vs. κacc = 0.18). The NP CCN efficiency spectrum shows that the CCN population is sensitive to changes in supersaturation (S) over a wide S range. Atmos. Chem. Phys. Discuss., https://doi

show abstract

“…To further explore factors that may explain any systematic differences between the variables, spatially explicit univariate and multivariate linear models were fit to the residuals. Temporal (year, month), spatial (distance from the nearest coast, bathymetry, latitude, Chl), and optical (climatological CDOM index; Acker and Leptoukh 2007;Morel and Gentili 2009;Siegel et al 2005) factors were included as possible explanatory variables. An autocovariate was included within the models to account for any potential spatial dependence in the residuals.…”

Section: Validationmentioning

confidence: 99%

Integrating global chlorophyll data from 1890 to 2010

Boyce¹,

Lewis²,

Worm³

2012

Limnology & Ocean Methods

View full text Add to dashboard Cite

Understanding large-scale phytoplankton dynamics requires accurate, multi-decadal measurements of abundance and distribution. Since 1890, marine phytoplankton abundance has been assessed using a diverse range of sensors and observational platforms, and inter-calibrating these data have been challenging. Consequently, syntheses of historical phytoplankton data have been rarely attempted, and the need for accurate, long-term assessments of phytoplankton abundance and distribution is commonly acknowledged. Here, we derive quantitative indices of phytoplankton abundance from measurements of upper ocean transparency and color-calibrated with direct measurements of surface chlorophyll. The strong correlation and linear scaling of the predicted data enabled the construction of a comprehensive, globally intercalibrated chlorophyll time series from 1890 to 2010. The calibrated chlorophyll data reproduced the well-established spatial features of phytoplankton surface biomass and were strongly correlated with chlorophyll concentration derived from two independent remote sensing platforms discontinuously available since 1978. These results suggest that with careful statistical treatment it is possible to generate a globally integrated chlorophyll time series extending 120 years into the past. This database, which is available in the web appendices of this paper, may enable new insights in the areas of climate science, biogeochemical cycling, and marine ecosystem structure and functioning over the past century.

show abstract

Online analysis enhances use of NASA Earth science data

Cited by 744 publications

References 5 publications

Climate diagnostics of three major drought events in the Amazon and illustrations of their seasonal precipitation predictions

Climate diagnostics of three major drought events in the Amazon and illustrations of their seasonal precipitation predictions

Long-term observations of cloud condensation nuclei in the Amazon rain forest – Part 2: Variability and characteristic differences under near-pristine, biomass burning, and long-range transport conditions

Integrating global chlorophyll data from 1890 to 2010

Contact Info

Product

Resources

About