MESACLIP: A 500-year CESM HR pre-industrial control simulation forced with perpetual 1850 conditions
Description:
Climate variations on seasonal-to-decadal (S2D) timescales can have enormous social, economic, and environmental impacts, making skillful predictions on these time scales an invaluable tool for policymakers and stakeholders. Such variations modulate the likelihood and intensity of extreme weather events including, tropical cyclones (TCs), heat waves, winter storms, atmospheric rivers (ARs), and floods, which have all been associated with (1) increases in human morbidity and mortality rates; (2)…
Dataset ID:
d651029
netCDF
Description:
A broad group of US and international partners organized and agreed to have ECMWF compute a high resolution global gridded dataset that serves as a reference dataset for general and collaborative observing system simulation experiments (OSSE). This model output is termed "Nature Run", because it is intended to be a best representation possible of the true environmental conditions. The temporal and spatial resolution are sufficient so the data may be used as an experimental samples and v…
Dataset ID:
d621000
WMO_GRIB1
Description:
This data is obtained from the National Climatic Data Center (NCDC).
"Information contained in this monthly data file are primarily those from
the cooperative network, augmented by observations from principal
climatological stations operated by the National Weather Service and
other sites having highly trained observers."
Dataset ID:
d560000
NCDC_TD3220
Description:
The CESM2 Large Ensemble consists of 100 members at 1 degree spatial resolution covering the period 1850-2100 under CMIP6 historical and SSP370 future radiative forcing scenarios. Two separate sets of biomass burning emissions forcing files were used within the ensemble. Members 1-50 were forced with CMIP6 protocols identical to those used in Danabasoglu et al. (2020) in the paper for CESM2. For members 51-100, the most relevant species for biomass burning fluxes from the CMIP6 protocols were s…
Dataset ID:
d651056
netCDF
Description:
Goals:
Photooxidation of b-caryophyllene with the existence of O3 and 2-butanol under black lights
Summary:
Targets: b-caryophyllene 5 ppb; O3 350 ppb; 2-butanol 1.58 ppm
INSTRUMENTS: GC, SMPS, vTDMA, APM, AMS
Organization: UCR-CECERT-APL-Cocker Group
Lab Affiliation: University of California, Riverside, CE-CERT
Chamber: EPA chamber
Experiment Category: Photolysis, any phase, Aerosol formation, Aerosol aging
Oxidant: Ozone
Reactants: b-caryophyllene, 2-butanol
Reaction Type: Photooxidation
Re…
Dataset ID:
d789430
proprietary_ASCII
Description:
This dataset contains supplementary output grids
from the ECMWF operational model. These grids
are on a gaussian grid (N80) with approximately a
1.125 degree resolution.
Dataset ID:
d111003
WMO_GRIB0
WMO_GRIB1
Description:
Goals:
Observing OH-initiated m-xylene reactions under SOA surrogate and NOx environment.
Summary:
targets: 1.1 ppmC SOA surrogate + 1 ppmC H2O2 + 25 ppb NOx + 250 ppb m-xylene (A)
Instruments: GC1 + SMPS + AMS + VTDMA + SIFT
Organization: UCR-CECERT-APL-Cocker Group
Lab Affiliation: University of California, Riverside, CE-CERT
Chamber: EPA chamber
Experiment Category: Photolysis, any phase
Oxidant: Hydroxyl radical
Reactants: SOA surrogate, NOx, H2O2, m-xylene
Reaction Type: Photooxidation
Rel…
Dataset ID:
d789479
proprietary_ASCII
Description:
The dataset includes post-processed model outputs from global simulations using the MPAS-A version 7.1. The model was initialized using both ECMWF Integrated Forecast System (IFS) and NCEP Global Forecast System (GFS) on September 8, 2006 and integrated for 5 days and 6 hours to hindcast the evolution and tropical cyclogenesis of the African easterly wave that became Hurricane Helene in 2006. The dataset can be used to study this specific AEW case and other easterly waves and tropical systems t…
Dataset ID:
d583135
HDF5/NetCDF4
Description:
This dataset contains ISCCP CX satellite data at about 30km
resolution.
Dataset ID:
d725001
proprietary_Binary
For ancillary use only - not recommended as a primary research dataset. It has likely been superseded by newer and better datasets.
Description:
Earlier grids DSS received "stand alone," later grids were
extracted by DSS from the "full stack" of grids in DS240.1
Unless you have a special interest in this dataset, DSS recommends that you
use one of our reanalysis datasets, such as ds090.0. That's because those are
based on a more complete collection of observations, improved analysis methods,
and are provided in a common modern format (GRIB).
Dataset ID:
d240000
DSS_Navy_Grid
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