ORCID Profile
0000-0003-0349-2197
Current Organisations
Alfred Health
,
Bureau of Meteorology
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Publisher: American Geophysical Union (AGU)
Date: 2003
DOI: 10.1029/2000JB000142
Publisher: Wiley
Date: 25-01-2011
DOI: 10.1002/WEA.736
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2008
Publisher: Wiley
Date: 22-03-2023
DOI: 10.1111/ANS.18426
Abstract: Inter‐hospital transfer (IHT) of intensive care patients is a limited resource. We assessed the outcomes of patients with haemorrhagic stroke requiring IHT and intensive care and aimed to identify early prognostic factors of poor neurological outcome. We conducted a retrospective observational cohort study of patients admitted to a single tertiary intensive care unit (ICU) with haemorrhagic stroke after IHT between January 2014 and December 2018. Primary outcome was poor neurological outcome (modified Rankin Scale ≥4 at time of discharge from hospital or rehabilitation unit). Secondary outcomes were mortality rate, rate of intervention, rate of organ donation surgery (ODS) and potentially avoidable transfer (PAT). PAT was defined as transfer where the patient did not receive an intervention and had a poor neurological outcome. Ninety patients were included in this study, 48 with intracerebral haemorrhage (ICH) and 42 with subarachnoid haemorrhage (SAH). Fifty‐one (56.7%) patients had a poor neurological outcome, including 30 (33%) who died. Factors significantly associated with poor neurological outcome included age 80 years, lower presenting Glasgow Coma Score (GCS) and bilaterally fixed and dilated pupils. Stepwise logistic regression demonstrated history of hypertension as significantly associated with poor neurological outcome in patients with ICH ( P = 0.021). Seven (7.8%) patients had ODS. Sixty‐four (71.1%) patients received intervention and 20 (22.2%) transfers were potentially avoidable. Patients in this cohort are at high risk of poor neurological outcome. Prognostic factors identified in this study may help referring, retrieval and receiving clinicians to discuss futility prior to pursuing IHT.
Publisher: Wiley
Date: 07-2018
DOI: 10.1002/QJ.3365
Publisher: Wiley
Date: 29-01-2020
DOI: 10.1002/QJ.3741
Publisher: Wiley
Date: 2009
DOI: 10.1002/QJ.379
Publisher: American Geophysical Union (AGU)
Date: 12-02-2021
DOI: 10.1029/2020GL090699
Abstract: Aircraft reports are an important source of information for numerical weather prediction (NWP). From March 2020, the COVID‐19 pandemic resulted in a large loss of aircraft data but despite this it is difficult to see any evidence of significant degradation in the forecast skill of global NWP systems. This apparent discrepancy is partly because forecast skill is very variable, showing both day‐to‐day noise and lower frequency dependence on the mean state of the atmosphere. The definitive way to cleanly assess aircraft impact is using a data denial experiment, which shows that the largest impact is in the upper troposphere. The method used by Chen (2020, 0.1029/2020gl088613 ) to estimate the impact of COVID‐19 is oversimplistic. Chen understates the huge importance of satellite data for modern weather forecasts and raises more alarm than necessary about a drop in forecast accuracy.
Publisher: Wiley
Date: 10-2010
DOI: 10.1002/QJ.701
Publisher: American Meteorological Society
Date: 03-2010
Abstract: The sensitivity of NWP forecast accuracy with respect to the radiometric performance of microwave sounders is assessed through a series of observing system experiments at the Met Office and ECMWF. The observing system experiments compare the impact of normal data from a single Advanced Microwave Sounding Unit (AMSU) with that from an AMSU where synthetic noise has been added. The results show a measurable reduction in forecast improvement in the Southern Hemisphere, with improvements reduced by 11% for relatively small increases in radiometric noise [noise-equivalent brightness temperature (NEΔT) increased from 0.1 to 0.2 K for remapped data]. The impact of microwave sounding data is shown to be significantly less than was the case prior to the use of advanced infrared sounder data [Atmospheric Infrared Sounder (AIRS) and Infrared Atmospheric Sounding Interferometer (IASI)], with microwave sounding data now reducing Southern Hemisphere forecast errors by approximately 10% compared to 40% in the pre-AIRS/IASI period.
Publisher: Wiley
Date: 08-2010
DOI: 10.1002/WEA.598
Publisher: Wiley
Date: 16-09-2011
DOI: 10.1002/QJ.917
Publisher: Wiley
Date: 12-12-2011
DOI: 10.1002/ASL.366
Publisher: Wiley
Date: 03-07-2012
DOI: 10.1002/QJ.1979
Publisher: IEEE
Date: 2006
Publisher: Copernicus GmbH
Date: 30-07-2010
Abstract: Abstract. Principal component (PC) analysis has received considerable attention as a technique for the extraction of meteorological signals from hyperspectral infra-red sounders such as the Infrared Atmospheric Sounding Interferometer (IASI) and the Atmospheric Infrared Sounder (AIRS). In addition to achieving substantial bit-volume reductions for dissemination purposes, the technique can also be used to generate reconstructed radiances in which random instrument noise has been reduced. Studies on PC analysis of hyperspectral infrared sounder data have been undertaken in the context of numerical weather prediction, instrument monitoring and geophysical variable retrieval, as well as data compression. This study examines the potential of PC analysis for chemistry applications. A major concern in the use of PC analysis for chemistry is that the spectral features associated with trace gases may not be well represented in the reconstructed spectra, either due to deficiencies in the training set or due to the limited number of PC scores used in the radiance reconstruction. In this paper we show ex les of reconstructed IASI radiances for several trace gases: ammonia, sulphur dioxide, methane and carbon monoxide. It is shown that care must be taken in the selection of spectra for the initial training set: an iterative technique, in which outlier spectra are added to a base training set, gives the best results. For the four trace gases examined, key features of the chemical signatures are retained in the reconstructed radiances, whilst achieving a substantial reduction in instrument noise. A new regional re-transmission service for IASI is scheduled to start in 2010, as part of the EUMETSAT Advanced Retransmission Service (EARS). For this EARS-IASI service it is intended to include PC scores as part of the data stream. The paper describes the generation of the reference eigenvectors for this new service.
Publisher: SPIE
Date: 23-01-2001
DOI: 10.1117/12.413954
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Jeffrey Keat Peng Kam.