Filters








1,234 Hits in 2.8 sec

Identificação e quantificação dos componentes de perdas de produção do tomateiro

Rodolfo A. Loos, Derly José H. da Silva, Paulo Cezar R. Fontes, Marcelo C. Picanço, Lessando M. Gontijo, Ézio M. da Silva, Altair Arlindo Semeão
2004 Horticultura Brasileira  
Foram identificados e quantificados, no período de verão-outono, evidenciando o componente crítico e o fator-chave de perdas da cultura, mediante a utilização da tabela de vida das culturas.  ...  Observou-se maior influência da perda de plantas (r=0,89) (P<0,01) sobre as perdas totais sendo, consequentemente, plantas o componente crítico de perdas da cultura.  ...  Loos 2 ; Derly José H. da Silva 2 ; Paulo Cezar R. Fontes 2 ; Marcelo C. Picanço 3 ; Lessando M. Gontijo 3 ; Ézio M. da Silva 3 ; Altair Arlindo Semeão 3 2 UFV, Depto.  ... 
doi:10.1590/s0102-05362004000200015 fatcat:xpl3jnznljdxrpbm6kmv3vvnki

The Choice of Variable for Atmospheric Moisture Analysis

Dick P. Dee, Arlindo M. da Silva
2003 Monthly Weather Review  
E., A. da Silva, J. Guo, M. Sienkiewicz, and D. Lamich, 1998" Assess- ing the effects of data selection with the DAO physical-space statistical analysis system. Mon. Wea.  ...  Pp. 567-574 in M. A. Kaashoek, J. H. van Schuppen, and A. C. M. Ran (eds.), Realization and Modelling in System Theory, Pro- ceedings of the International Symposium MTNS-89, Volume I.  ... 
doi:10.1175/1520-0493(2003)131<0155:tcovfa>2.0.co;2 fatcat:v7lzjsyeuzaj3gcmqzc4ggkd3u

Resistência de genótipos de batata, Solanum spp., a afídeos (Homoptera: Aphididae) e influência sobre parasitóides

Fernando M. Lara, Edimar A. da Silva, Arlindo L. Boiça Junior
1999 Anais da Sociedade Entomológica do Brasil  
O genótipo NYL 235-4 mostrou-se suscetível a M. euphorbiae, sob infestações médias de 2,90 (1996) e 1,19 pulgões/folha (1997); dentre as cultivares comerciais, Baronesa foi a menos atacada por M. persicae  ...  Dois levantamentos foram efetuados, aos 70 e 85 dias após o plantio, avaliando-se o número de pulgões/folha e pulgões parasitados, nos terços superior, médio e inferior da planta.  ...  Souza-Silva, da UFSCAR, pela identificação de afídeos e a Dra. A. M. Penteado-Dias, da UFSCAR, e Dr. P.  ... 
doi:10.1590/s0301-80591999000400015 fatcat:4z7xlivkfrc7lgbuz6gxeugkia

Aerosol atmospheric rivers: climatology, event characteristics, and detection algorithm sensitivities

Sudip Chakraborty, Bin Guan, Duane E. Waliser, Arlindo M. da Silva
2022 Atmospheric Chemistry and Physics  
For example, the ORACLES mission and CALIPSO can be used to study the subsidence that depresses the plumes once they reach the Atlantic Ocean off the West African Coast (Das et al., 2017) .  ...  It is to be noted that the wind speed within AARs peaks around 650 hPa, suggesting the influence from the AEJ-S (south; Adebiyi and Zuidema, 2016; Chakraborty et al., 2021b; Das et al., 2017) on the  ... 
doi:10.5194/acp-22-8175-2022 fatcat:gw6siyjxpbfihl7xyvur6hscrq

Maximum-Likelihood Estimation of Forecast and Observation Error Covariance Parameters. Part I: Methodology

Dick P. Dee, Arlindo M. da Silva
1999 Monthly Weather Review  
Silva 1998) .  ...  Dee and da Silva (1998) show how the mean equation (17) can be used to estimate forecast bias in a statistical data assimilation system, using unbiased (or bias-corrected) observations.  ... 
doi:10.1175/1520-0493(1999)127<1822:mleofa>2.0.co;2 fatcat:tovnkee2drernjyxhwipycwkhy

Analysis of the MODIS above-cloud aerosol retrieval algorithm using MCARS

Galina Wind, Arlindo M. da Silva, Kerry G. Meyer, Steven Platnick, Peter M. Norris
2022 Geoscientific Model Development  
., 2015; da Silva et al., 2014; Putman et al., 2015) .  ...  Silva, 2016a, b) .  ... 
doi:10.5194/gmd-15-1-2022 fatcat:hhmyeilnm5gsnnisb4blaqp4j4

Improving Assimilated Global Datasets Using TMI Rainfall and Columnar Moisture Observations

Arthur Y. Hou, Sara Q. Zhang, Arlindo M. da Silva, William S. Olson
2000 Journal of Climate  
_: _", "# /_ l_,;,_,:_. .......... d) GEOS(TMI PCP+TPW) Minus CERES AC= 0.79 BIAS= 8.00(-50_) STDV= 24.4(-24_) JON _ _z _,_,_ ,':-T-;_,¢; l,_'_----',:h "" P ,-"," _'_k ,(_.t_g," m O {'-3_14 Wm -= 25N 20N  ...  Details of this I+ID assimilation procedure and the basic features of the GEOS DAS are described in Hou et al. (1999a) .  ... 
doi:10.1175/1520-0442(2000)013<4180:iagdut>2.0.co;2 fatcat:qrbkspjgozexleuobgpicidkji

An adaptive buddy check for observational quality control

DICK P DEE, LEONID RUKHOVETS, RICARDO TODLING, ARLINDO M DA SILVA, JAY W LARSON
2001 Quarterly Journal of the Royal Meteorological Society  
:>:> m) is applied.  ...  where m = dim y is the number of buddies (Dee 1995, Section 4).  ... 
doi:10.1256/smsqj.57713 fatcat:mvw76y2uxre7rpoilqwojgxp2y

An adaptive buddy check for observational quality control

Dick P. Dee, Leonid Rukhovets, Ricardo Todling, Arlindo M. da Silva, Jay W. Larson
2001 Quarterly Journal of the Royal Meteorological Society  
:>:> m) is applied.  ...  where m = dim y is the number of buddies (Dee 1995, Section 4).  ... 
doi:10.1002/qj.49712757714 fatcat:yj77tb7jzbftxgspt6c2hdb7ku

Maximum-Likelihood Estimation of Forecast and Observation Error Covariance Parameters. Part II: Applications

Dick P. Dee, Greg Gaspari, Chris Redder, Leonid Rukhovets, Arlindo M. da Silva
1999 Monthly Weather Review  
Dee and da Silva (1998) have developed a sequential forecast bias estimation algorithm that can be incorporated into existing statistical data assimilation systems.  ...  Introduction We described the maximum-likelihood method for estimating unknown covariance parameters from time series of observed-minus-forecast residuals in Dee and da Silva (1999, hereafter referred  ... 
doi:10.1175/1520-0493(1999)127<1835:mleofa>2.0.co;2 fatcat:4k3dhzf5qjgfpndidnx4tijsie

The Power of Absorptive Capacity and the Network for the Competitive Advantage

Luciano Ferreira da Silva, Arnoldo José de Hoyos Guevara, Karina Ribeiro Fernandes, Arlindo M. Esteves Rodrigues
2014 International Business Research  
Some organizations are limited by the inertia of their structures (Sharifirad, 2010; Freeman & Hannan, 2005; Silva, Lopes & Oliveira, 2013) .  ... 
doi:10.5539/ibr.v7n9p1 fatcat:y4qnclpu6rbubi5l3r3nztgj6e

Multi-sensor cloud and aerosol retrieval simulator and remote sensing from model parameters – Part 2: Aerosols

Galina Wind, Arlindo M. da Silva, Peter M. Norris, Steven Platnick, Shana Mattoo, Robert C. Levy
2016 Geoscientific Model Development  
The M{O/Y}D04 product is of course normally produced from M{O/Y}D021KM MODIS Level-1B radiance product directly acquired by the MODIS instrument.  ...  MCARS matches the format and metadata of a M{O/Y}D021KM product.  ...  Details can be found in Darmenov and da Silva (2015).  ... 
doi:10.5194/gmd-9-2377-2016 fatcat:ht46dtf5ongmdnz5az4kks44ry

Relationship between circum-Arctic atmospheric wave patterns and large-scale wildfires in boreal summer

Teppei J Yasunari, Hisashi Nakamura, Kyu-Myong Kim, Nakbin Choi, Myong-In Lee, Yoshihiro Tachibana, Arlindo M da Silva
2021 Environmental Research Letters  
highly elevated organic carbon in the particulate organic matter [POM] form) monthly mean mass concentration over the Arctic for 2003-2017 were all in summer (July and August), during which POM of ⩾0.5 µg m  ...  M da Silva  https://orcid.org/0000-0002-3381-4030 In GOCART, OC is treated as Particulate Organic Matter (POM = 1.4 × OC; Colarco et al 2010).  ...  MERRA-2 uses the monthlymean quick fire emissions dataset (QFED) emissions (Darmenov and Da Silva 2015) up to 2010 and daily QFED emissions afterward.  ... 
doi:10.1088/1748-9326/abf7ef fatcat:r6qvt42ykjcz5ly2jvzq55gibe

Saharan Dust as a Causal Factor of Significant Cloud Cover Along the Saharan Air Layer in the Atlantic Ocean [chapter]

Pavel Kishcha, Arlindo M. da Silva, Boris Starobinets, Pinhas Alpert
2016 Springer Proceedings in Complexity  
The tropical Atlantic is frequently affected by Saharan dust intrusions. Based on MODIS cloud fraction (CF) data during the 10 year study period, we found that these dust intrusions contribute to significant cloud cover along the Saharan Air Layer (SAL). Below the temperature inversion at the SAL's base, the presence of large amounts of settling dust particles, together with marine aerosols, produces meteorological conditions suitable for the formation of shallow stratocumulus clouds. The
more » ... icant cloud fraction along the SAL together with clouds over the Atlantic Intertropical Convergence Zone contributes to the 20 % hemispheric CF asymmetry between the tropical North and South Atlantic. This leads to the imbalance in strong solar radiation, which reaches the sea surface between the tropical North and South Atlantic, and, consequently, affects climate formation in the tropical Atlantic. Therefore, despite the fact that, over the global ocean, there is no noticeable hemispheric asymmetry in cloud fraction, over the significant area such as the tropical Atlantic the hemispheric asymmetry in CF takes place. Saharan dust is also the major contributor to hemispheric aerosol asymmetry over the tropical Atlantic. The NASA GEOS5 model with aerosol data assimilation was used to extend the MERRA reanalysis with five atmospheric aerosol species (desert dust, sulfates, organic carbon, black carbon, and seasalt). The obtained 10 year (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) MERRAdriven aerosol reanalysis dataset (aka MERRAero) showed that, over the tropical Atlantic, dust and carbonaceous aerosols were distributed asymmetrically relative to the equator, while other aerosol species were distributed more symmetrically.
doi:10.1007/978-3-319-24478-5_92 fatcat:q236ugqdm5evziowqqymvbugzm

Simulation of the Ozone Monitoring Instrument Aerosol Index using the NASA Goddard Earth Observing System Aerosol Reanalysis Products

Peter R. Colarco, Santiago Gasso', Changwoo Ahn, Virginie Buchard, Arlindo M. da Silva, Omar Torres
2017 Atmospheric Measurement Techniques Discussions  
Again, the white line is the 1000 m topographic height contour.  ...  J Geophys Res-Atmos 103, 17099-17110 (1998). de Vries, M. J. M. P., Beirle, S. & Wagner, T. UV Aerosol Indices from SCIAMACHY: introducing the SCattering Index 30 (SCI).  ... 
doi:10.5194/amt-2017-87 fatcat:gemvzjap3fdz5f3umo3xkvvd4e
« Previous Showing results 1 — 15 out of 1,234 results