Institution
ARPA-E
Government•Washington D.C., District of Columbia, United States•
About: ARPA-E is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Population & Climate change. The organization has 1161 authors who have published 1267 publications receiving 30049 citations. The organization is also known as: Advanced Research Projects Agency - Energy.
Topics: Population, Climate change, Precipitation, Snow, Air quality index
Papers published on a yearly basis
Papers
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TL;DR: The spatio-temporal distribution of this invasive ctenophore and its morphological and biometric characteristics are described, and laboratory data on egg production and microscopic observations are presented.
28 citations
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TL;DR: In this article, the influence of wood combustion on PM in fall/winter that are the most favorable seasonal periods with presumed intense biomass burning for residential heating due to low temperatures was investigated.
28 citations
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TL;DR: In this article, the authors validate a new methodology based on the hypothesis that the calibration parameters characterizing the atmospheric transmittance at 940nm are dependent on vertical profiles of temperature, air pressure and moisture.
Abstract: . The estimation of the precipitable water vapour content ( W ) with high
temporal and spatial resolution is of great interest to both meteorological
and climatological studies. Several methodologies based on remote sensing
techniques have been recently developed in order to obtain accurate and
frequent measurements of this atmospheric parameter. Among them, the relative
low cost and easy deployment of sun–sky radiometers, or sun photometers,
operating in several international networks, allowed the development of
automatic estimations of W from these instruments with high temporal
resolution. However, the great problem of this methodology is the estimation
of the sun-photometric calibration parameters. The objective of this paper is
to validate a new methodology based on the hypothesis that the calibration
parameters characterizing the atmospheric transmittance at 940 nm are
dependent on vertical profiles of temperature, air pressure and moisture
typical of each measurement site. To obtain the calibration parameters some
simultaneously seasonal measurements of W , from independent sources, taken
over a large range of solar zenith angle and covering a wide range of W ,
are needed. In this work yearly GNSS/GPS datasets were used for obtaining a
table of photometric calibration constants and the methodology was applied
and validated in three European ESR-SKYNET network sites, characterized by
different atmospheric and climatic conditions: Rome, Valencia and Aosta.
Results were validated against the GNSS/GPS and AErosol RObotic NETwork (AERONET)
W estimations. In both the validations the agreement was very
high, with a percentage RMSD of about 6, 13 and 8 % in the case of
GPS intercomparison at Rome, Aosta and Valencia, respectively, and of 8 %
in the case of AERONET comparison in Valencia. Analysing the results by W classes, the present methodology was found to
clearly improve W estimation at low W content when compared against AERONET in
terms of % bias, bringing the agreement with the GPS (considered the
reference one) from a % bias of 5.76 to 0.52.
28 citations
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TL;DR: In this paper, a new methodology was developed to automatically update Landslide state of activity maps by combining multi-temporal A-DInSAR data (LAMBDA).
28 citations
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TL;DR: In this paper, the authors derived IDAF curves from the statistical properties of event maxima of rainfall intensity in area and duration, which are assumed scale invariant in time and space and Lognormal distributed, with a Poissonian chronology of rain events.
28 citations
Authors
Showing all 1165 results
Name | H-index | Papers | Citations |
---|---|---|---|
Antonio Russo | 88 | 934 | 34563 |
John V. Guttag | 62 | 254 | 17679 |
Mauro Rossi | 56 | 407 | 13056 |
Gianpaolo Balsamo | 54 | 131 | 31691 |
David Evans | 52 | 130 | 13455 |
Barbara Stenni | 44 | 148 | 10859 |
Luigi Bisanti | 42 | 104 | 8560 |
Marco Fontana | 42 | 384 | 7526 |
Andrea Ranzi | 42 | 101 | 8090 |
Dario Mirabelli | 37 | 127 | 3842 |
Marco Turco | 32 | 78 | 2709 |
Stefania La Grutta | 31 | 141 | 2691 |
Maurizio Forte | 28 | 135 | 2962 |
Gianluigi de Gennaro | 28 | 86 | 2853 |
Giovanni Martinelli | 27 | 104 | 2439 |