ライフサイエンスコーパス: GCM

1 GCMs also vary greatly in their projections of future cl

2 pected to decline by 17%-86% for 7 of the 10 GCM/RCP scenarios.

3 In 5 of the 10 GCM/representative concentration pathway (RCP) scenarios

4 nd future climate conditions projected by 16 GCMs under RCP 4.5 and RCP 8.5 for the end of the centur

5 Analysis of daily precipitation in 30 GCMs reveals patterns in projected hydrometeorology over

6 ted annual heat-related deaths across the 33 GCMs varied greatly by RCP and adaptation and population

7 A GCM's realization of present-day (1970-1999) and future

8 century, based on median projections across GCMs.

9 ies large uncertainties that directly affect GCM predictions, such as climate sensitivity.

10 LL-AML Leukemia data, Breast Cancer data and GCM data).

11 ods for large-class datasets (e.g. NCI60 and GCM).

12 The difference between RCM- and GCM-based scenarios is due to greater warming and larger

13 we find strong agreement between the VKE and GCM estimates with respect to electricity generation rat

14 Once a bias correction is applied, GCM- and RCM-driven US maize yields are essentially indi

15 u measurements coupled with state-of-the-art GCM simulations enables us to quantify the mitigation po

16 Rarer causes of myocarditis such as GCM should be sought in patients who develop ventricular

17 Atrial GCM represents a distinct clinicopathologic entity with

18 (median age 67.5 years, 4 male) with atrial GCM in our pathology consultation practices from 2010 to

19 Furthermore, combining BOLD fMRI-based GCM and DTPM analysis could provide a novel means to stu

20 to take into account the differences between GCM-simulated and observed rainfall regimes in the 20th

21 p://sparta.chem-eng.northwestern.edu/cgi-bin/GCM/WebGCM.cgi.

22 tation is equivalent to climate projected by GCMs for California by 2020-2030 and that under these co

23 n quantity of emitted dust has likely caused GCMs to underestimate the global dust emission rate.

24 e overestimation of the clay fraction causes GCMs to also overestimate the radiative cooling of a giv

25 h (NCAR) Community Earth System Model (CESM) GCM to align with the new observations and evaluate the

26 ent from that obtained by using a comparable GCM-based scenario, under which these species retain 81%

27 reases in coastal temperatures, compromising GCMs' ability to provide realistic scenarios of future c

28 upled CO2 simulations between a conventional GCM in which convection is parameterized and a "superpar

29 Our climate model is unusual among current GCMs in that it is able to reproduce this relationship a

30 Currently, GCM includes >368 000 strains from 103 culture collectio

31 oat population trajectories for 10 different GCM/emissions scenarios relevant for coastal Alaska.

32 eement in climate predictions from different GCMs, we focused on the GCM projections that produced th

33 was still adequate, based on the downscaled GCM climate projections.

34 a high-resolution alternative to downscaled GCM outputs for near-term ecological forecasts.

35 PCA may improve upon application of existing GCMs in study of human brain effective connectivity.

36 ber of the small transcription factor family GCM (glial cells missing), which are important regulator

37 arctic ice core records alongside input from GCM modelling.

38 led liquid fraction in mixed-phase clouds in GCMs, given the sensitivity of the ECS to the cloud-phas

39 regional currents, a feature not resolved in GCMs.

40 ticosteroid treatment inhibits IL-13-induced GCM of the airways in asthma, possibly through its effec

41 hange and compare frameworks for integrating GCM output into ecological models.

42 ominated by broad-scale (100s of kilometers) GCM systematic errors that RCMs cannot compensate for.

43 f wind turbines to derive wind power limits (GCM estimate), and compare them to a simple approach der

44 at are present in the Global Cancer Mapping (GCM) data set.

45 nvestigated using Granger causality mapping (GCM).

46 l amino acids to the general center of mass (GCM) of the structure, relative solvent accessibility (R

47 A ceramic/graphene metamaterial (GCM) with microstructure-derived superelasticity and str

48 Bronchial epithelial goblet cell metaplasia (GCM) with hyperplasia is a prominent feature of asthma,

49 analysis (PCA) and Granger causality method (GCM) is proposed to study directional influence between

50 Global Catalogue of Microorganism (GCM) gathers strain catalogue information and provides a

51 According to the germinal center model (GCM), latently infected B cells transit the germinal cen

52 ns generated by a general circulation model (GCM) in "normal" and "hosing" experiments.

53 ) are driven with general circulation model (GCM) output--to produce fine-spatial-scale climate proje

54 g with downscaled general circulation model (GCM) projections of warming and streamflow change to est

55 ice cores, prior general circulation model (GCM) studies have supported the assumption of constant u

56 th an atmospheric general circulation model (GCM) that explicitly simulates the effects of wind turbi

57 th an atmospheric general circulation model (GCM) that tracks oxygen isotopes in vapor.

58 ies (GISS) ModelE General Circulation Model (GCM) to the regional scale using the Weather Research Fo

59 Global climate model (GCM) estimates of the equilibrium global mean surface te

60 in species' ranges use global climate model (GCM) output, regional climate model (RCM) output may be

61 We review Global Climate Model (GCM) performance along different dimensions of change an

62 The genotypic covariance model (GCM) and the structured linear model (SLM) rely on the s

63 ions of SIE from General Circulation Models (GCM) of Earth's climate included in the most recent Inte

64 ent global-scale General Circulation Models (GCMs) and two Representative Concentration Pathways scen

65 General circulation models (GCMs) are the tool for predicting future climate, but th

66 that regional and global circulation models (GCMs) overestimate the emitted fraction of clay aerosols

67 pecially as some general circulation models (GCMs) predict a severe drying of Amazonia in the twenty-

68 However, general circulation models (GCMs) predict future increase in summer temperature and

69 ic CO2, high-end general circulation models (GCMs) simulate an accumulation of energy at the top of t

70 Phase 5 (CMIP5) general circulation models (GCMs) suggest that warmer winter temperatures in 2080-21

71 We used five Global Circulation Models (GCMs) to make future (2011 to 2100) rainfall and tempera

72 projections from general circulation models (GCMs) to predict changes in vectorial capacity, an indic

73 simulations from General Circulation Models (GCMs) to project future climate scenarios at ecologicall

74 General circulation models (GCMs), forced by sea surface temperatures (SSTs) from th

75 pitation based on global circulation models (GCMs).

76 time periods, and global circulation models (GCMs).

77 rage of multiple general circulation models (GCMs).

78 ojections from the 33 global climate models (GCMs) and two Representative Concentration Pathways (RCP

79 ons around the world, global climate models (GCMs) consistently project drier futures.

80 tion (~1 degrees ) of Global Climate Models (GCMs) have informed debate but have not helped target lo

81 ate simulations by 19 global climate models (GCMs) in this context and find that most tend to underes

82 tions derived from 20 Global Climate Models (GCMs) of the Coupled Model Intercomparison Project phase

83 Global climate models (GCMs) predict enhanced warming and nutrient decline acro

84 Global climate models (GCMs) project great spatial variation in the timing of a

85 e to the inability of global climate models (GCMs) to resolve essential small-scale cloud and convect

86 ad with 18 downscaled global climate models (GCMs) to simulate climate change-driven impacts on both

87 ns from 20 downscaled global climate models (GCMs) were used with the 3-PG model to predict the futur

88 tions from downscaled global climate models (GCMs).

89 poorly represented in global climate models (GCMs).

90 caling exponent Z [group conflict mortality (GCM)].

91 On a global scale, the dust cycle in most GCMs is tuned to match radiative measurements, such that

92 Giant cell myocarditis (GCM) typically causes fulminant heart failure, arrhythmi

93 t likely that the histological appearance of GCM was due to the presence of mycobacterial infection w

94 Our patient is the first reported case of GCM and a concurrent diagnosis of tuberculosis.

95 than, uncertainty arising from the choice of GCM.

96 easures of MUC5AC and MUC5B and induction of GCM.

97 We describe a novel variant of GCM, primarily involving the atria, that displays distin

98 des or less, consistent with the majority of GCMs.

99 at over 50% of genes selected by BCGA-ELM on GCM data are cancer related biomarkers.

100 beta2 -adrenergic receptor agonist (LABA) on GCM in the bronchial epithelium are unknown.

101 ere, we explore whether local erosion rates, GCM-derived dust fluxes, temperature, and water balance

102 s assessments of dynamically downscaling raw GCM output may not be sufficient to justify its computat

103 ed these scenarios against coarse resolution GCM projections at a regional scale to evaluate their te

104 ics that are not represented by coarse-scale GCMs.

105 ments on mean projected changes from several GCMs.

106 ASB) varies 10 or more years within a single GCM grid cell.

107 Although RCMs correct some GCM biases related to fine-scale geographic features, er

108 Subsequently, GCM can be applied to principal components extracted in

109 The GCM predicts changes in atmospheric circulation and rain

110 The GCM remains the only model that explains EBV biology and

111 ccur opposite the direction predicted by the GCM.

112 over the Great Plains is represented in the GCM as a reduction in vegetation cover and the addition

113 In the GCM mean, this OLR recovery timescale is only 20 y becau

114 nanolayers of the Al2 O3 ceramic (NAC), the GCM demonstrates a sequence of multifunctional propertie

115 Over ocean, the GCM estimate is about twice the VKE estimate (0.59 and 0

116 ataset and the two largest categories of the GCM dataset, the results achieved by recursive RR are al

117 rculous therapy has led to resolution of the GCM without the need for continued long-term immunosuppr

118 tions from different GCMs, we focused on the GCM projections that produced the best and worst conditi

119 This is accomplished by reformulating the GCM in terms of the Wright-Kempthorne equation.

120 The SLM is generally more accurate than the GCM, the most pronounced differences emerging in simulat

121 re different for the Bahamas compared to the GCM projections.

122 We found that using distance to the GCM together with amino acid type provide a good discrim

123 Even under the GCM predictions most conducive to malaria transmission,

124 Consistent with the GCM simulations, the approach estimates that only compar

125 ure (SST) means and annual cycles in all the GCMs are replaced with observed data from the ~4-km NOAA

126 when combined, DLX3 acts as an antagonist to GCM.

127 re effectively captured with the distance to GCM definition.

128 by a variety of climate inputs including two GCMs, each in turn downscaled by two RCMs.

129 The simulation demonstrated that by using GCM with PCA, between-region causalities were better rep

130 usalities were better represented than using GCM with average values.

131 favorable prognosis than classic ventricular GCM.

132 ollows a more benign course than ventricular GCM.

133 The pace and extent to which GCM projections overwhelm historical trends will play a