Download Mo Dao Zu Shi Season 3 Sub Indo ~UPD~
Milba Vanpatten
The climate of Indonesia is almost entirely tropical. The uniformly warm waters that make up 81% of Indonesia's area ensure that temperatures on land remain fairly constant, with the coastal plains averaging 28 C (82 F), the inland and mountain areas averaging 26 C (79 F), and the higher mountain regions, 23 C (73 F). Temperature varies little from season to season, and Indonesia experiences relatively little change in the length of daylight hours from one season to the next; the difference between the longest day and the shortest day of the year is only forty-eight minutes. This allows crops to be grown all year round.[2]
Although air temperature changes little from season to season or from one region to the next, cooler temperatures prevail at higher elevations. In general, temperatures drop approximately 1 C per 90-meter increase in elevation from sea level with some high-altitude interior mountain regions experiencing night frosts. The highest mountain ranges in Papua are permanently capped with snow.
Bali is famous for its dry season- hollow tubes, light offshore winds, and line-ups drawn in from far stretches of the globe. The wet season however, it can all turn into a mess. I arrived right in the middle of it, which presented challenges I learned to overcome.
During the wet season, you can have a good sized swell come in matching with what could be amazing light, and out of nowhere a storm could come in and ruin that slight period of time you have to shoot. It can destroy waves and create an absolute mess. So you wait, and check a new spot where the storm might not have hit yet, hoping that the waves are picking up.
Within 20 minutes, dark clouds appeared and as if a switch was clicked the rain came. It had passed quickly, the sun came back out as the swell built. The tide had began to rise, creating many peaks to take off left or right. I felt my excitement grow as I filled up a memory card of images. After a few hours of shooting, the crowds started to arrive as they usually do mid morning. I packed up my gear and realized how those few hours were a perfect example that you can enjoy an amazing wet season wave as a surfer or a photographer. It takes patience and mindset for exploration.
With its endless green rice paddies, rumbling volcanoes, fascinating culture and spiritual temples, Java is one of the most captivating islands in Indonesia. Its rainy season lasts from November to March, with most of the rain falling in the late afternoon. Java remains mostly dry in the dry season and temperatures usually remain hot pretty much all year round. The best time to travel here is between April and October.
Nusa Tenggara is a tropical wonderland of dazzling white beaches, luminous turquoise seas, hidden villages and thrilling wildlife. If you want to explore this area during your travels, its worth knowing that the difference between the dry and wet season is slightly bigger in this region, which lies to the east of Bali. The driest months are August and September and the wettest are November to February, however the duration of the dry and wet seasons vary per island. As a rule of thumb, the closer to Australia you are, the longer the dry season lasts.
In the meantime, with Indonesia heading into what meteorologists predict could be an extreme dry season this year, the findings suggest that large areas of peatland could be far more vulnerable to burning than the government has acknowledged.
For example, at the beginning of 2019, during a wet season that saw torrential floods in many parts of the country, KLHK registered that around 3.5 million hectares of peatland inside concession areas had groundwater levels at 40cm belowground or higher.
Water levels are highly dependent on external climate conditions, noted Muh Taufik, a tropical peatland researcher at IPB University. In the wet season, the water table could be at ground level or even above ground, while in the dry season it can fall to a metre or more below the surface, he said.
Another region where the fire season has already started is West Kalimantan province in Indonesian Borneo. By the end of February, fires were burning up peatlands outside Pontianak, the provincial capital, churning out toxic smog that choked the city for days.
Authorities in Riau, the province perennially worst-hit by fires during the dry season, has also highlighted the role of oil palm growers in the issue. On March 5, the provincial government summoned representatives of 100 oil palm companies, out of a total of 374 operating in the province, to get them to commit to tackling land and forest fires.
Hot extremes are anticipated to be more frequent and more intense under climate change, making the Indo-Gangetic Plain of India, with a 400 million population, vulnerable to heat stress. Recent studies suggest that irrigation has significant cooling and moistening effects over this region. While large-scale irrigation is prevalent in the Indo-Gangetic Plain during the two major cropping seasons, Kharif (Jun-Sep) and Rabi (Nov-Feb), hot extremes are reported in the pre-monsoon months (Apr-May) when irrigation activities are minimal. Here, using observed irrigation data and regional climate model simulations, we show that irrigation effects on heat stress during pre-monsoon are 4.9 times overestimated with model-simulated irrigation as prescribed in previous studies. We find that irrigation increases relative humidity by only 2.5%, indicating that irrigation is a non-crucial factor enhancing the moist heat stress. On the other hand, we detect causal effects of aerosol abundance on the daytime land surface temperature. Our study highlights the need to consider actual irrigation data in testing model-driven hypotheses related to the land-atmosphere feedback driven by human water management.
In India, large-scale irrigation is observed only during the monsoon and post-monsoon seasons: Kharif and Rabi, extending from June to September and November to February, respectively. The rest of the months, March to May, are usually hot and dry without extensive agricultural activities because of cropping pattern26,27 and government policies related to groundwater conservation28. Heat stress associated with hot extremes is observed during the pre-monsoon season (April and May) and in the early monsoon season (June), specifically in the late monsoon onset years with high-irrigation feedback from the monsoon (Kharif season) irrigation practices. Recent studies3,12 on irrigation feedback during the pre-monsoon season used land surface models to estimate irrigation amounts in the absence of region-specific irrigation data over the Indian region. Further, these studies used annual irrigated areas instead of pre-monsoon seasonal area fractions, failing to account that agricultural activities and irrigation in the field are minimal during pre-monsoon hot extremes. While such approaches may be suitable for other regions globally, they may overestimate pre-monsoon irrigation amounts in the Indo-Gangetic Plain. Hence, the model-estimated irrigation volumes lead to very high feedback on near-surface climate compared to changes in observed records of land surface temperature and wet-bulb temperature. Therefore, attributing decreasing land surface temperature12,17 and rising wet-bulb temperature12,23,25 over the Indo-Gangetic Plain to irrigation12 alone based on overestimated irrigation overlook contribution from other factors like aerosol loading29 and remote moisture transport as important as irrigation.
Moreover, the results from another set of simulation named as HNG using Huang et al.34 monthly irrigation withdrawal data all over India for four years (as described in Supplementary Note 2) shows high feedback to meteorological variables (Supplementary Fig. 9) similar to the MOD experiment over the Indo-Gangetic Plain. The most probable reason is the tendency of water models to estimate higher irrigation water for dry soil conditions over the annual irrigation area fraction given by GMIA data during the pre-monsoon season. The agricultural census-based irrigation volume prescribed to the model (ARG) overcomes this drawback and shows the actual influence of irrigation.
Our results show that modelling studies should use actual irrigation data and account for practices unique to the region rather than generalising schemes or methods originally tailored for other, significantly different hydroclimatic or social conditions. The model-driven hypothesis testing with a state-of-the-art modelling framework is found to be inadequate in simulating the Indian human-natural climate system resulting in a non-realistic conclusion. With the Governmental agricultural census-based irrigation data and regional land-atmosphere model, designed for Indian agricultural practices, we showed that irrigation have limited effect on the moist heat stress to explain the recent trends12 of wet-bulb temperature and humidity over the Indo-Gangetic basin in the pre-monsoon season. Further, our results do not show strong attenuation of hot extremes by irrigation activities during the pre-monsoon season in the Indo-Gangetic Plain in India and show the possible role of other local factors like aerosol loading in moderating hot extremes. This study also underlines the benefits of the availability of real-field data for model-driven hypothesis testing related to land-atmosphere feedback controlled by human water management. Finally, it can be suggested that any regional representation of a human-natural climate system moderating or amplifying the effects of greenhouse gases needs consideration of regional characteristics and processes; the use of models adopted from different regions may lead to erroneous conclusions.
We use IMD35 daily mean temperature to assess the model skill over the Indo-Gangetic Plain. The simulated meteorological variables (mean temperature, maximum temperature, minimum temperature, specific humidity, relative humidity, pressure, heat fluxes, and wet-bulb temperature) at an hourly scale is converted to daily scale and then averaged over the simulation period for each set of the experiment. The hourly wet-bulb temperature is calculated using hourly mean temperature, hourly dew-point temperature, and hourly surface pressure using the iterative procedure described by Stipanuk50 available in NCL. The dry heat stress and moist heat stress are represented by daily 2m-air temperature and wet-bulb temperature, similar to the definition adopted for model-simulated output in Mishra et al.12. The 95th percentile of daily maximum temperature (Tmax_95) and daily wet-bulb temperature (Tw_95) during the pre-monsoon season represent the extreme dry and moist heat conditions, respectively. The above-mentioned meteorological variables are spatially averaged over Indo-Gangetic Plain for the AGR, MOD, and CTL to understand the impact of census-based irrigation and model-estimated irrigation. The spatially averaged variables are temporally averaged from 2004 to 2016 for all the experiments, and the difference between them quantifies the irrigation feedback due to different irrigation prescriptions. The two-sample t-test is also performed on a spatially averaged variable of the AGR experiment to determine whether there is a significant change in values at a daily and annual scale. Here, the null hypothesis for the test is that daily/annual values from AGR and CTL are independent random samples from normal distributions with equal means and equal but unknown variances. The null hypothesis is rejected at the 5% significance level.
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