نتایج جستجو برای: gcms hplc

تعداد نتایج: 34938  

Journal: :Forest Pathology 2022

Phytophthora cactorum is a plant pathogen affecting wide range of hosts, causing economically damaging diseases, such as damping off and root rot, in fields nurseries. Current protection strategies are often inadequate to control diseases. Hence, an attempt was made evaluate the potential novel method using lignin nanoparticles loaded with essential oil Thymus serpyllum (EO-LNPs) for controllin...

2002
X. Wu

The representation of cloud systems and cloud-radiation interaction is considered to be one of major uncertainties in general circulation models (GCMs). This arises because (1) complete observations of cloud systems are impossible and available measurements are very limited; (2) cloud-radiation interactions are scale-dependent (Dudek et al. 1996) while current GCMs cannot explicitly resolve the...

2006
K. M. Nissen

Towards a better representation of the solar cycle in general circulation models K. M. Nissen, K. Matthes, U. Langematz, and B. Mayer Institut für Meteorologie, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany National Center for Atmospheric Research, 3450 Mitchell Lane, Boulder, CO 80301, USA Institut für Physik der Atmosphäre, Deutsches Zentrum für Luftund Raumfa...

2015
H. Abirami Muhammad Ilyas Prem Kumar Nargis Begum

The aim of this study is to evaluate the bioactive compounds in the ethanolic leaf extract of Azima tetracantha by using Gas chromatographyMass Spectrometry (GCMS). Azima tetracantha leaves were collected from Ariyalur District, Tamil Nadu. The dried leaf powder was extracted with the solvent ethanol by using Soxhlet apparatus. One microlitre of the extract was subjected for analysis by GCMS to...

2011
Evan Kodra

Global climate models (GCMs) are important tools for addressing climate change questions at a global scale. Recent research has attempted to combine outputs from multiple GCMs to quantify uncertainty in regional climate change, which may ultimately inform regional stakeholders and policy-makers. Using a case study, we illustrate a potential path toward improvement in an existing Bayesian formul...

2016
Roman Olson Jason P. Evans Alejandro Di Luca Daniel Argüeso

NARCliM (New South Wales and Australian Capital Territory Regional Climate Modelling project) is a climate downscaling project for Australia and the surrounding regions. Present and future climate simulations are performed using a 1-way nested dynamical down scaling approach and span 2 domains. We focus on the inner 10 km domain that extends across south-east Australia. Three regional climate m...

2017
Lei Ren Lian-qing Xue Yuan-hong Liu Jia Shi Qiang Han Peng-fei Yi

Climate change in Northwest China could lead to the change of the hydrological cycle and water resources. This paper assessed the influence of climate change on runoff in the Manas River basin as follows. First, the temporal trends and abrupt change points of runoff, precipitation, and mean, lowest and highest temperature in yearly scale during the period of 1961–2015 were analyzed using the Ma...

2012
Karen M. Shell

5 Climate sensitivity is generally studied using two types of models. Atmosphere-ocean general 6 circulation models (AOGCMs) include interactive ocean dynamics and detailed heat uptake. 7 Atmospheric GCMs (AGCMs) with slab ocean models (SOMs) cannot fully simulate the 8 ocean’s response to and influence on climate. However, AGCMs are cheaper computation9 ally and thus are often used to quantify...

2007
DÁITHÍ A. STONE MYLES R. ALLEN PETER A. STOTT

This paper presents an update on the detection and attribution of global annual mean surface air temperature changes, using recently developed climate models. In particular, it applies a new methodology that permits the inclusion of many more general circulation models (GCMs) into the analysis, and it also includes more recent observations. This methodology involves fitting a series of energy b...

2006
J. F. B. Mitchell

Most of the uncertainty in the climate sensitivity of contemporary general circulation models (GCMs) is believed to be connected with differences in the simulated radiative feedback from clouds. Traditional methods of evaluating clouds in GCMs compare time–mean geographical cloud fields or aspects of present-day cloud variability, with observational data. In both cases a hypothetical assumption...

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