1-100 of about 295 matches for site:www.giss.nasa.gov variations
https://www.giss.nasa.gov/pubs/abs/ba05100g.html
Pubs.GISS: Bauer 2005: Observed and Simulated Humidity Variations Go to Main Content (Accesskey 2) Go to
https://www.giss.nasa.gov/pubs/abs/pr08400w.html
Pubs.GISS: Priester 1965: On the variations of the thermospheric structure Go to Main
https://www.giss.nasa.gov/pubs/abs/ce02000x.html
Pubs.GISS: Cess et al. 1981: Latitudinal variations in Jovian stratospheric temperature Go to Main Content (Accesskey
https://www.giss.nasa.gov/pubs/abs/ch07000g.html
Pubs.GISS: Chen et al. 2000: Radiative effects of cloud-type variations Go to Main Content (Accesskey
https://www.giss.nasa.gov/pubs/abs/sc06000k.html
Pubs.GISS: Schmidt 1998: Oxygen-18 variations in a global ocean model Go to Main Content
Pubs.GISS: Hoerling et al. 2008: Attribution of the causes of climate variations and trends over Nor
https://www.giss.nasa.gov/pubs/abs/ho00400a.html
GISS: Hoerling et al. 2008: Attribution of the causes of climate variations and trends
Pubs.GISS: Rossow and Lacis 1990: Global, seasonal cloud variations from satellite radiance measurem
https://www.giss.nasa.gov/pubs/abs/ro04400m.html
Pubs.GISS: Rossow and Lacis 1990: Global, seasonal cloud variations from satellite radiance measurements. Part II:... Go to
https://www.giss.nasa.gov/pubs/abs/ro04800i.html
Pubs.GISS: Rossow et al. 2006: Analyzing the variations of the global energy and water
Pubs.GISS: Obiso et al. 2024: Observationally constrained regional variations of shortwave absorptio
https://www.giss.nasa.gov/pubs/abs/ob06000g.html
Pubs.GISS: Obiso et al. 2024: Observationally constrained regional variations of shortwave absorption by iron oxides... Go to
Pubs.GISS: Miller et al. 2006: Forced annular variations in the 20th century Intergovernmental Panel
https://www.giss.nasa.gov/pubs/abs/mi04110l.html
Pubs.GISS: Miller et al. 2006: Forced annular variations in the 20th century Intergovernmental Panel on Climate... Go
Pubs.GISS: Braak et al. 2002: Spatial and temporal variations of Venus haze properties obtained from
https://www.giss.nasa.gov/pubs/abs/br07000g.html
Pubs.GISS: Braak et al. 2002: Spatial and temporal variations of Venus haze properties obtained from Pioneer
Pubs.GISS: Zhang et al. 2007: Decadal variations of global energy and ocean heat budget and meridion
https://www.giss.nasa.gov/pubs/abs/zh09000a.html
Pubs.GISS: Zhang et al. 2007: Decadal variations of global energy and ocean heat budget and
Pubs.GISS: Leuliette et al. 2002: Detecting time variations in gravity associated with climate chang
https://www.giss.nasa.gov/pubs/abs/le04000r.html
Pubs.GISS: Leuliette et al. 2002: Detecting time variations in gravity associated with climate change Go to Main
Pubs.GISS: Frappart et al. 2010: Interannual variations of the terrestrial water storage in the Lowe
https://www.giss.nasa.gov/pubs/abs/fr05100g.html
Pubs.GISS: Frappart et al. 2010: Interannual variations of the terrestrial water storage in the Lower
Pubs.GISS: Knibbe et al. 1998: Analysis of temporal variations of the polarization of Venus observed
https://www.giss.nasa.gov/pubs/abs/kn03000u.html
Pubs.GISS: Knibbe et al. 1998: Analysis of temporal variations of the polarization of Venus
Pubs.GISS: Kim 1994: Analysis and comparison of diurnal variations of cloud radiative forcing: Earth
https://www.giss.nasa.gov/pubs/abs/ki02000x.html
Pubs.GISS: Kim 1994: Analysis and comparison of diurnal variations of cloud radiative forcing: Earth
Pubs.GISS: Jägermeyr and Frieler 2018: Spatial variations in crop growing seasons pivotal to reprodu
https://www.giss.nasa.gov/pubs/abs/ja04300i.html
Pubs.GISS: Jägermeyr and Frieler 2018: Spatial variations in crop growing seasons pivotal to reproduce
Pubs.GISS: Tselioudis and Rossow 1994: Global, multiyear variations of optical thickness with temper
https://www.giss.nasa.gov/pubs/abs/ts06000k.html
Pubs.GISS: Tselioudis and Rossow 1994: Global, multiyear variations of optical thickness with temperature in low
Pubs.GISS: Civerolo et al. 2010: Evaluation of an 18-year CMAQ simulation: Seasonal variations and l
https://www.giss.nasa.gov/pubs/abs/ci04000r.html
Pubs.GISS: Civerolo et al. 2010: Evaluation of an 18-year CMAQ simulation: Seasonal variations and long
Pubs.GISS: Frappart et al. 2008: Interannual variations of river water storage from a multiple satel
https://www.giss.nasa.gov/pubs/abs/fr04100j.html
Pubs.GISS: Frappart et al. 2008: Interannual variations of river water storage from a multiple satellite approach
Pubs.GISS: Leung 1968: On the relation between the amplitude of light and radial velocity variations
https://www.giss.nasa.gov/pubs/abs/le00400a.html
the relation between the amplitude of light and radial velocity variations of β
Pubs.GISS: Matthews and Rossow 1987: Regional and seasonal variations of surface reflectance from sa
https://www.giss.nasa.gov/pubs/abs/ma01200l.html
Pubs.GISS: Matthews and Rossow 1987: Regional and seasonal variations of surface reflectance from satellite
Pubs.GISS: Rossow et al. 1989: Global, seasonal cloud variations from satellite radiance measurement
https://www.giss.nasa.gov/pubs/abs/ro04000r.html
Pubs.GISS: Rossow et al. 1989: Global, seasonal cloud variations from satellite radiance measurements. Part I: Sensitivity... Go to Main
Pubs.GISS: Liu 2003: Sea Ice Climatology: Variations and Teleconnections: Observational and Modeling
https://www.giss.nasa.gov/pubs/abs/li09100s.html
Pubs.GISS: Liu 2003: Sea Ice Climatology: Variations and Teleconnections: Observational and Modeling Studies Go to
Pubs.GISS: Allen et al. 1980: Titan: Aerosol photochemistry and variations related to the sunspot cy
https://www.giss.nasa.gov/pubs/abs/al09100s.html
Pubs.GISS: Allen et al. 1980: Titan: Aerosol photochemistry and variations related to the sunspot cycle
Pubs.GISS: Yin et al. 1992: Equilibrium response of ocean deep-water circulation to variations in Ek
https://www.giss.nasa.gov/pubs/abs/yi03000u.html
Yin et al. 1992: Equilibrium response of ocean deep-water circulation to variations in Ekman
Pubs.GISS: Chen et al. 2008: The spatiotemporal structure of twentieth-century climate variations in
https://www.giss.nasa.gov/pubs/abs/ch09800r.html
GISS: Chen et al. 2008: The spatiotemporal structure of twentieth-century climate variations in observations
Pubs.GISS: Machado et al. 1998: Life cycle variations of mesoscale convective systems over the Ameri
https://www.giss.nasa.gov/pubs/abs/ma01100t.html
Pubs.GISS: Machado et al. 1998: Life cycle variations of mesoscale convective systems over the Americas Go
Pubs.GISS: Knibbe et al. 1995: Spatial variations of Venus' cloud properties derived from polarimetr
https://www.giss.nasa.gov/pubs/abs/kn02200p.html
Pubs.GISS: Knibbe et al. 1995: Spatial variations of Venus' cloud properties derived from polarimetry Go to Main
Pubs.GISS: Hegyi et al. 1971: A search for variations in the intensity of the optical pulses from NP
https://www.giss.nasa.gov/pubs/abs/he09400x.html
Pubs.GISS: Hegyi et al. 1971: A search for variations in the intensity of
https://www.giss.nasa.gov/research/briefs/archive/2009_rind_03/
NASA GISS: Science Briefs: Do Variations in the Solar Cycle Affect Our Climate System? This page's content
Pubs.GISS: Balachandran and Rind 1995: Modeling the effects of UV variability and the QBO on the tro
https://www.giss.nasa.gov/pubs/abs/ba01000b.html
with the more extreme UV forcing, but at lower altitudes and smaller wind variations with the more
Pubs.GISS: Seze and Rossow 1991: Time-cumulated visible and infrared radiance histograms used as des
https://www.giss.nasa.gov/pubs/abs/se06000k.html
and infrared radiance histograms used as descriptors of surface and cloud variations. Int. J. Remote Sens
Pubs.GISS: Alexander et al. 2016: Greenland Ice Sheet seasonal and spatial mass variability from mod
https://www.giss.nasa.gov/pubs/abs/al02600k.html
regional climate models (RCMs) and ice sheet models (ISMs) to simulate spatiotemporal variations in the
Pubs.GISS: Chowdhary et al. 2012: Sensitivity of multiangle, multispectral polarimetric remote sensi
https://www.giss.nasa.gov/pubs/abs/ch02010z.html
light depends on the biomass content of the ocean, such that variations in the
https://www.giss.nasa.gov/pubs/abs/gr08900n.html
and mechanisms for the Sun's variability are described, including solar irradiance variations on both decadal and
Pubs.GISS: Chami et al. 2015: OSOAA: A vector radiative transfer model of coupled atmosphere-ocean s
https://www.giss.nasa.gov/pubs/abs/ch07110n.html
rough sea surface application to the estimates of the directional variations of the
Pubs.GISS: Chen et al. 2000: Sensitivity of atmospheric radiative heating rate profiles to variation
https://www.giss.nasa.gov/pubs/abs/ch09000a.html
Chen et al. 2000: Sensitivity of atmospheric radiative heating rate profiles to variations of cloud
https://www.giss.nasa.gov/pubs/abs/do02000x.html
10.1175/1520-0469(1972)029<0156:MATTAW>2.0.CO;2. Microbaroms are regular pressure variations of a
Pubs.GISS: Jin et al. 1994: The effect of sea ice on the solar energy budget in the atmosphere-sea i
https://www.giss.nasa.gov/pubs/abs/ji08200c.html
atmosphere. The effects of ice property changes, including salinity and density variations, as well as of
https://www.giss.nasa.gov/pubs/abs/ma03110j.html
and B.I. Cook , 2015: Sensitivity to factors underlying the hiatus. US CLIVAR Variations , 13 , no. 3, 25
https://www.giss.nasa.gov/pubs/abs/tu05100g.html
Pubs.GISS: Tucker et al. 1986: Relationship between atmospheric CO 2 variations and a satellite-derived... Go to
Pubs.GISS: Lee et al. 2008: The northern annular mode in summer and its relation to solar activity v
https://www.giss.nasa.gov/pubs/abs/le05200y.html
annular mode in summer and its relation to solar activity variations in... Go
Pubs.GISS: D'Arrigo 1989: Dendrochronological Modeling and Reconstruction of Large-Scale Climate Var
https://www.giss.nasa.gov/pubs/abs/da00100w.html
the past decade of elevated atmospheric trace gases levels exceed the "natural" variations in the
Pubs.GISS: Spivakovsky et al. 1990: Tropospheric OH in a three-dimensional chemical tracer model: An
https://www.giss.nasa.gov/pubs/abs/sp03000u.html
and on the absolute calibration of observations. It is argued that seasonal variations of CH
https://www.giss.nasa.gov/pubs/abs/fr02300g.html
s Future , 5 , no. 6, 605-616, doi:10.1002/2016EF000525. Year-to-year variations in crop
Pubs.GISS: Czekala et al. 2001: Interpretation of polarization features in ground-based microwave ob
https://www.giss.nasa.gov/pubs/abs/cz04000r.html
cases. Possible reasons for the remaining differences are the short-term variations in the
Pubs.GISS: Tselioudis et al. 1992: Global patterns of cloud optical thickness variation with tempera
https://www.giss.nasa.gov/pubs/abs/ts04000r.html
2. The International Satellite Cloud Climatology Project (ISCCP) dataset is used to correlate variations of cloud
Pubs.GISS: Zhang et al. 2017: A framework for quantifying the impacts of sub-pixel reflectance varia
https://www.giss.nasa.gov/pubs/abs/zh04200y.html
assumed to be horizontally homogeneous in the retrieval. Ignoring sub-pixel variations of cloud
Pubs.GISS: Romanski and Hameed 2015: The impact of trends in the large scale atmospheric circulation
https://www.giss.nasa.gov/pubs/abs/ro09410t.html
on Mediterranean surface turbulent heat fluxes. Adv. Meteorol. , 2015 , 519593, doi:10.1155/2015/519593. Interannual variations of latent
Pubs.GISS: Zhang et al. 1995: Calculation of surface and top-of-atmosphere radiative fluxes from phy
https://www.giss.nasa.gov/pubs/abs/zh02000x.html
as much on uncertainties in surface albedo. Although atmospheric and surface temperature variations cause larger LW flux
https://www.giss.nasa.gov/pubs/abs/ca06410i.html
differ from the predictions of general relativity except for secular variations, having the age
Pubs.GISS: Ottaviani et al. 2012: Polarimetric retrievals of surface and cirrus clouds properties in
https://www.giss.nasa.gov/pubs/abs/ot00100w.html
This work illustrates the merits of polarization measurements in detecting variations of ocean
Pubs.GISS: Rind 1995: The potential for modeling the effects of different forcing factors on climate
https://www.giss.nasa.gov/pubs/abs/ri03000u.html
different forcing factors on climate during the past 2000 years. In Climatic Variations and Forcing
https://www.giss.nasa.gov/pubs/abs/ro04100j.html
a liquid droplet microphysics model, and 5) increased detail about the variations of cloud
Pubs.GISS: Poore et al. 1995: Cloud layer thicknesses from a combination of surface and upper-air ob
https://www.giss.nasa.gov/pubs/abs/po07000g.html
low-, middle-, and high-top altitudes, there are strong latitudinal and seasonal variations in the
Pubs.GISS: Rind and Perlwitz 2004: The response of the Hadley circulation to climate changes, past a
https://www.giss.nasa.gov/pubs/abs/ri06600q.html
climate were compared to assess the factors responsible for producing variations in Hadley
https://www.giss.nasa.gov/pubs/abs/ha09100s.html
Cold reversal on Kodiak Island, Alaska, correlated with the European younger Dryas by using variations of atmospheric
https://www.giss.nasa.gov/staff/gschmidt/
on the Future of Science (2009). M. Brockman, Ed. Vintage, La modélisation de variations climatiques. in L
https://www.giss.nasa.gov/pubs/abs/mi01700z.html
magnitude of the associated cloud cover anomalies. Over the subtropical ocean, variations in low
Pubs.GISS: Del Genio and Yao 1988: Sensitivity of a global climate model to the specification of con
https://www.giss.nasa.gov/pubs/abs/de00300h.html
heating and well-defined marine shallow cumulus regions. Varying boundary layer height (as prescribed by variations in lifting
https://www.giss.nasa.gov/pubs/abs/un07000g.html
absorption rather than superrefractivity. The experiment is apparently far more sensitive to variations in cloud
https://www.giss.nasa.gov/pubs/abs/da05000n.html
in the study. It was found that climate perturbations during 1940-1988 caused considerable variations in plant
Pubs.GISS: Lin et al. 2025: The relative importance of forced and unforced temperature patterns in d
https://www.giss.nasa.gov/pubs/abs/li05410p.html
in the relative importance of the two over time, rather than through variations in forced
Pubs.GISS: Rampino 1979: Possible relationships between changes in global ice volume, geomagnetic ex
https://www.giss.nasa.gov/pubs/abs/ra08500r.html
2. A possible relationship between major changes in global ice volume, geomagnetic variations, and short
Pubs.GISS: Tselioudis 1992: Global Patterns of Cloud Optical Thickness Variation with Temperature an
https://www.giss.nasa.gov/pubs/abs/ts05000n.html
in Cahpter I. The analysis focuses on low clouds to limit variations in cloud
Pubs.GISS: Yang et al. 2020: Characterizing spatiotemporal patterns of crop phenology across North A
https://www.giss.nasa.gov/pubs/abs/ya04200y.html
vital role in terrestrial carbon dynamics and sustainable agricultural development. However, spatiotemporal variations of crop
Pubs.GISS: Clifton and Patton 2021: Does organization in turbulence influence ozone removal by decid
https://www.giss.nasa.gov/pubs/abs/cl05000f.html
related to ozone dry deposition, how quickly stomata respond to local atmospheric variations, and entrainment
Pubs.GISS: Wang and Rossow 1998: Effects of cloud vertical structure on atmospheric circulation in t
https://www.giss.nasa.gov/pubs/abs/wa03000u.html
The overall effect of clouds, the role of their geographic variations, and difference
Pubs.GISS: Bogner and Matthews 2003: Global methane emissions from landfills: New methodology and an
https://www.giss.nasa.gov/pubs/abs/bo07000g.html
estimates 1980-1996. Glob. Biogeochem. Cycles , 17 , no. 2, 1065, doi:10.1029/2002GB001913. Significant interannual variations in the
https://www.giss.nasa.gov/pubs/abs/fa09100t.html
potential to revolutionize field measurements by providing first-hand information for continuously tracking variations of heterogeneous
Pubs.GISS: Wood et al. 2024: Decadal evolution of ice-ocean interactions at a large East Greenland g
https://www.giss.nasa.gov/pubs/abs/wo05100p.html
mass through glacier retreat and ice flow acceleration. This mass loss is linked with variations in submarine
Pubs.GISS: Marlon et al. 2017: Climatic history of the northeastern United States during the past 30
https://www.giss.nasa.gov/pubs/abs/ma05310f.html
nutrient cycling, disturbance regimes %mdash$ are strongly influenced by multidecadal- to millennial-scale climate variations that cannot be directly
https://www.giss.nasa.gov/pubs/abs/ri02300a.html
60 m/s in a few hours time period. These short time period variations, observable only because of
Pubs.GISS: Manzini et al. 2014: Northern winter climate change: Assessment of uncertainty in CMIP5 p
https://www.giss.nasa.gov/pubs/abs/ma08900u.html
climate change, given that sea level pressure (SLP) responds not only to tropospheric circulation variations but also to
https://www.giss.nasa.gov/pubs/abs/go00700s.html
energy and modulated by atmospheric greenhouse gasses, volcanism, and plate tectonics produce substantial variations in Earth
Pubs.GISS: Jin and Sun 2017: Errors in spectral fingerprints and their effects on climate fingerprin
https://www.giss.nasa.gov/pubs/abs/ji06100q.html
spectral fingerprints for different regions over the ocean. The interannual variations in the
Pubs.GISS: Stone and Yao 1990: Development of a two-dimensional zonally averaged statistical-dynamic
https://www.giss.nasa.gov/pubs/abs/st01600h.html
meridional eddy flux of moisture simulate the seasonal and latitudinal variations of these
Pubs.GISS: Menon et al. 2000: Chemical heterogeneity across cloud droplet size spectra in continenta
https://www.giss.nasa.gov/pubs/abs/me03000u.html
39 , 887-903, doi:10.1175/1520-0450(2000)039<0887:CHACDS>2.0.CO;2. Variations in the
Pubs.GISS: Aires et al. 2005: Sensitivity of satellite microwave and infrared observations to soil m
https://www.giss.nasa.gov/pubs/abs/ai05100g.html
observations and surface skin temperature diurnal cycle amplitude) to the soil moisture variations to describe
Pubs.GISS: Menon et al. 2002: GCM simulations of the aerosol indirect effect: Sensitivity to cloud p
https://www.giss.nasa.gov/pubs/abs/me04000r.html
number and all three aerosol types simultaneously; corrections are made for implied variations in cloud
https://www.giss.nasa.gov/pubs/abs/ch09500o.html
data and a refined radiative transfer model from NASA/GISS GCM. Cloud-type variations are shown to
https://www.giss.nasa.gov/pubs/abs/ch05600u.html
fluctuations. Nature , 226 , 337-338, doi:10.1038/226337a0. Richards et al. have recently recorded sinusoidal variations in the
https://www.giss.nasa.gov/pubs/abs/as03000j.html
of the uncertainty in climate change impact projections was due to variations among crop models than
Pubs.GISS: Jiang et al. 2015: Evaluating the diurnal cycle of upper-tropospheric ice clouds in clima
https://www.giss.nasa.gov/pubs/abs/ji01100l.html
ocean. Empirical orthogonal function (EOF) analysis on the observed and model-simulated variations of ice
Pubs.GISS: Chowdhary et al. 2006: Contribution of water-leaving radiances to multiangle, multispectr
https://www.giss.nasa.gov/pubs/abs/ch01700z.html
for off-principal plane observations requires the ability to assess realistic variations in both
https://www.giss.nasa.gov/pubs/abs/ai09000a.html
the sensitivities of a dynamical system from observations of its variations. The new
Pubs.GISS: Döll et al. 2016: Modelling freshwater resources at the global scale: Challenges and pros
https://www.giss.nasa.gov/pubs/abs/do08100s.html
Quantification of spatially and temporally resolved water flows and water storage variations for all
Pubs.GISS: Yang et al. 2019: Large-scale transport into the Arctic: the roles of the midlatitude jet
https://www.giss.nasa.gov/pubs/abs/ya09100t.html
inter-model spread of this zonally uniform tracer is more related to variations in parameterized
https://www.giss.nasa.gov/pubs/year/1998.html
Cold reversal on Kodiak Island, Alaska, correlated with the European younger Dryas by using variations of atmospheric
https://www.giss.nasa.gov/pubs/abs/do03000u.html
the Dulles-bound SST reveals direction and speed of stratospheric wind variations diurnally and seasonally
Pubs.GISS: Corral et al. 2021: An overview of atmospheric features over the Western North Atlantic O
https://www.giss.nasa.gov/pubs/abs/co05110l.html
and meteorological drivers such as temperature, moisture, and precipitation. Spatial and seasonal variations of tropospheric
https://www.giss.nasa.gov/pubs/abs/ja02000x.html
summer. Latitudinal gradients are steepest in the northern tropics, with distinctly different seasonal variations over the Pacific
Pubs.GISS: Weltzin et al. 2020: Seasonality of biological and physical systems as indicators of clim
https://www.giss.nasa.gov/pubs/abs/we00300e.html
impacts on socio-ecological systems are the periodic inter- and intra-annual variations in physical
https://www.giss.nasa.gov/pubs/abs/dy09000j.html
1086/426050. We predict how a remote observer would see the brightness variations of giant
https://www.giss.nasa.gov/pubs/abs/ca02920g.html
essentially the same for the past 70 years. Superimposed on these variations is a fast
Pubs.GISS: Wang and Stone 1980: Effect of ice-albedo feedback on global sensitivity in a one-dimensi
https://www.giss.nasa.gov/pubs/abs/wa03100m.html
cloud temperature. The global sensitivity is not affected significantly if the latitudinal variations of mean
https://www.giss.nasa.gov/pubs/abs/fr08300m.html
climate change impact analysis; we show here that they can be captured without relying on interannual variations. In general
Pubs.GISS: Bergas-Massó et al. 2022: How does the use of different soil mineralogical atlases impact
https://www.giss.nasa.gov/pubs/abs/be01300f.html
ESMs) commonly assume that dust aerosols have a globally uniform composition, neglecting known regional variations in soil
https://www.giss.nasa.gov/pubs/abs/ma06800f.html
rules, for those lines involving high j states in the same groups, variations of all