Prediction uncertainty increased with each passing month, which was also an expected result. The summer of 2014–2015 was especially dry (Table 3), so forage quality in the post-growth period was particularly poor. As noted above, the winter of 2016 was atypical, so the forecasts and ...
aObserved FFDI (Dowdy et al.28) and 2000+ year (1-2016 CE) FFDI mean reconstruction over the forested east coast and alpine regions of southeast Australia using the LDsss record (hatched area in map inset (g)). Light grey shading represents 95% prediction interval of the FFDI mean rec...
We woke up to beautiful birdsong and a rainbow, and when the clouds high up in the mountains started to clear, we could see fresh snow sprinkled on the peaks. It was the boost to the spirits that I needed. Riding into Makarora the previous day had been long and quite hard and we kn...
GRACE observations of Earth’s gravity can be used to derive the total water storage variation (∆TWS), which includes, e.g., soil moisture, groundwater, snow, canopy water, and surface water. The ∆GWS component could be extracted from the GRACE observation with the other components ...
The prediction of streamflow one month ahead can be achieved for Acheron River with Nino4 having a correlation value of “0.94”. For the same river, even a prediction six months ahead can be achieved with a correlation coefficient of “0.80”. For Yea River, predictions both one month and...
Lahars:Rapid mudflows triggered by volcanic activity, often involving melted snow or ice. Ashfall:The settling of volcanic ash over an area, which can disrupt air travel, damage crops, and pose respiratory risks. 8.Monitoring and Prediction: ...
2.3.3. Stage 3: Prediction of Daily PM2.5 We used the Random Forest model developed during Stage 2 to predict daily PM2.5 concentrations at a 5 km × 5 km spatial resolution across Australia. We reviewed the output of this estimation and corrected where needed. For example, whenever we ide...