Atmospheric observations of weather and climate
HB Bluestein, FH Carr, SJ Goodman - Atmosphere-Ocean, 2022 - Taylor & Francis
Current observation systems that provide data for the analysis and prediction of climate and
day-to-day weather are described, along with plans for future systems. The basic principles …
day-to-day weather are described, along with plans for future systems. The basic principles …
Ensemble Forecast Sensitivity to Observations Impact (EFSOI) applied to a regional data assimilation system over south-eastern South America
G Casaretto, ME Dillon, YG Skabar, JJ Ruiz… - Atmospheric …, 2023 - Elsevier
Observations that are assimilated into numerical weather prediction systems are conformed
by numerous data sets and their impact should be objectively evaluated. This can be …
by numerous data sets and their impact should be objectively evaluated. This can be …
Predictability of record-breaking rainfall in Japan in July 2018: Ensemble forecast experiments with the near-real-time global atmospheric data assimilation system …
Abstract 1 This paper is the first publication presenting the predictability of the record-
breaking 2 rainfall in Japan in July 2018 (RJJ18), the severest flood-related disaster since …
breaking 2 rainfall in Japan in July 2018 (RJJ18), the severest flood-related disaster since …
Exploring Ensemble Forecast Sensitivity to Observations for a Convective-Scale Data Assimilation System over the Dallas–Fort Worth Testbed
NA Gasperoni, X Wang, KA Brewster… - Monthly Weather …, 2024 - journals.ametsoc.org
Forecast sensitivity to observation (FSO) methods have become increasingly popular over
the past two decades, providing the ability to quantify the impacts of various observing …
the past two decades, providing the ability to quantify the impacts of various observing …
Ensemble‐based estimates of the impact of potential observations
In order to conduct observation‐network design experiments for a forecast system, methods
are needed to estimate the benefit of potential observations. Ideally, these methods are …
are needed to estimate the benefit of potential observations. Ideally, these methods are …
A local particle filter and its Gaussian mixture extension implemented with minor modifications to the LETKF
A particle filter (PF) is an ensemble data assimilation method that does not assume
Gaussian error distributions. Recent studies proposed local PFs (LPFs), which use …
Gaussian error distributions. Recent studies proposed local PFs (LPFs), which use …
[HTML][HTML] Precursory analysis ensemble spread signals that foreshadow stratospheric sudden warmings
A Yamazaki, S Noguchi - Monthly Weather Review, 2023 - journals.ametsoc.org
This study conducts a thorough investigation into the behaviors of analysis ensemble
spreads linked to stratospheric sudden warming (SSW) events. A stratosphere-resolving …
spreads linked to stratospheric sudden warming (SSW) events. A stratosphere-resolving …
EFSO at different geographical locations verified with observing system experiments
A Yamazaki, T Miyoshi, J Inoue… - Weather and …, 2021 - journals.ametsoc.org
An ensemble-based forecast sensitivity to observations (EFSO) diagnosis has been
implemented in an atmospheric general circulation model–ensemble Kalman filter data …
implemented in an atmospheric general circulation model–ensemble Kalman filter data …
Estimation of AMSU-A radiance observation impacts in an LETKF-based atmospheric global data assimilation system: Comparison with EFSO and observing system …
A Yamazaki, K Terasaki, T Miyoshi… - Weather and …, 2023 - journals.ametsoc.org
This work assesses the contribution of assimilating AMSU-A satellite-based radiance
measurements to a global data assimilation system based on an atmospheric general …
measurements to a global data assimilation system based on an atmospheric general …
Evaluation of adjoint‐based observation impacts as a function of forecast length using an observing system simulation experiment
NC Privé, RM Errico, R Todling… - Quarterly Journal of the …, 2021 - Wiley Online Library
Adjoints of numerical weather prediction models may be employed for forecast sensitivity to
observations (FSO) in order to monitor the contribution of ingested observation data on short …
observations (FSO) in order to monitor the contribution of ingested observation data on short …