Correction scheme for close-range lidar returns.

Because of the effect of defocusing and incomplete overlap between the laser beam and the receiver field of view, elastic lidar systems are unable to fully capture the close-range backscatter signal. Here we propose a method to empirically estimate and correct such effects, allowing to retrieve the lidar signal in the region of incomplete overlap. The technique is straightforward to implement. It produces an optimized numerical correction by the use of a simple geometrical model of the optical apparatus and the analysis of two lidar acquisitions taken at different elevation angles. Examples of synthetic and experimental data are shown to demonstrate the validity of the technique.

Bile duct to portal space ratio and ductal plate remnants in liver disease of infants aged less than 1 year.

AIM: To validate the bile duct to portal space ratio as an independent factor useful for the prognosis of neonatal liver disease. METHODS: We assessed the maturation of the intrahepatic bile duct system (IBDS) in 87 consecutive infants aged less than 1 year undergoing non-subcapsular, adequate (at least six portal tracts), liver needle biopsies because of hepatomegaly and/or cholestasis. The maturation of the IBDS was evaluated by immunohistochemistry with an antibody directed to cytokeratin 7 (CK7), a biliary-type intermediate filament of the cytoskeleton, and a schema showing the IBDS remodelling. We used five categories to fit the different patterns of the IBDS remodelling using the ratio between the number of bile ducts and the number of portal tracts (BD/PT) and the presence of abnormal reaction patterns (marked intra-acinar pseudorosettes and/or periportal ductular proliferation): (A) abnormal reaction patterns with any BD/PT; (B) BD/PT = 0; (C) 0.1 < or = BD/PT < 0.5; (D) 0.5 < or = BD/PT < 0.9; and (E) BD/PT > 0.9 (B-E categories: no abnormal reaction patterns). Further, we evaluated cholestasis, portal fibrosis (PF), portal inflammation (PI), giant cell transformation (GCT), and extramedullary haematopoiesis (EMH). RESULTS: We identified A-E categories in 24, 14, 17, 8, and 24 biopsies, respectively. B and C categories were frequently observed in biliary atresia (BA), A category in neonatal hepatitis (NH), A-C categories in paucity of intrahepatic bile ducts (PIBD), and E category in 'other liver diseases' (OLD). Cholestasis, PI, GCT, and EMH were more frequent in A and C, while PF was variably seen in all categories. The lowest survival rate occurred in B (Kaplan-Meier estimator). CONCLUSIONS: (1) Biliary epithelial cell patterns recapitulate the primitive stages of the IBDS maturation; (2) abnormal reaction patterns occur mainly in NH, whilst BD/PT < 0.5 in BA; and (3) lack of intrahepatic bile ducts in infants aged less than 1 year is an adverse prognostic factor independent from aetiology of neonatal liver disease.

The Orbiting Carbon Observatory (OCO-2) tracks 2-3 peta-gram increase in carbon release to the atmosphere during the 2014-2016 El Niño.

The powerful El Niño event of 2015-2016 - the third most intense since the 1950s - has exerted a large impact on the Earth's natural climate system. The column-averaged CO2 dry-air mole fraction (XCO2) observations from satellites and ground-based networks are analyzed together with in situ observations for the period of September 2014 to October 2016. From the differences between satellite (OCO-2) observations and simulations using an atmospheric chemistry-transport model, we estimate that, relative to the mean annual fluxes for 2014, the most recent El Niño has contributed to an excess CO2 emission from the Earth's surface (land + ocean) to the atmosphere in the range of 2.4 ± 0.2 PgC (1 Pg = 1015 g) over the period of July 2015 to June 2016. The excess CO2 flux is resulted primarily from reduction in vegetation uptake due to drought, and to a lesser degree from increased biomass burning. It is about the half of the CO2 flux anomaly (range: 4.4-6.7 PgC) estimated for the 1997/1998 El Niño. The annual total sink is estimated to be 3.9 ± 0.2 PgC for the assumed fossil fuel emission of 10.1 PgC. The major uncertainty in attribution arise from error in anthropogenic emission trends, satellite data and atmospheric transport.