WEBVTT 1 00:00:04,033 --> 00:00:06,062 perhaps you've seen maps like these on the news 2 00:00:06,062 --> 00:00:08,138 when drought is being reported and wondered what the different colors 3 00:00:09,038 --> 00:00:09,129 actually mean 4 00:00:10,029 --> 00:00:14,037 their categories of drought that are set by the US Drought Monitor 5 00:00:14,037 --> 00:00:17,080 these maps have been produced every week since 1999 6 00:00:17,008 --> 00:00:21,010 striving to accurately depict drought severity over the entire country 7 00:00:22,000 --> 00:00:25,359 in this animation we will break down the categories 8 00:00:25,359 --> 00:00:28,368 which includes $50,000 representing drought watch 9 00:00:28,449 --> 00:00:31,490 in ranges from d1 to be four with t4 10 00:00:31,859 --> 00:00:35,040 being the most severe at first look 11 00:00:35,004 --> 00:00:38,843 drought seems simple enough less water than we need are accustomed to at a 12 00:00:38,879 --> 00:00:40,610 particular place and time here 13 00:00:40,061 --> 00:00:43,075 but as we dig a little deeper it gets more complicated 14 00:00:43,075 --> 00:00:46,154 the severity of drought is based on factors such as 15 00:00:46,829 --> 00:00:50,300 precipitation soil moisture streamflow 16 00:00:50,003 --> 00:00:53,262 groundwater and reservoir levels on-the-ground reports 17 00:00:53,559 --> 00:00:56,632 agricultural hell temperature water demand 18 00:00:57,289 --> 00:01:00,840 and specific geography in some regions 19 00:01:00,084 --> 00:01:03,165 snowpack becomes a critical factor not only to the surrounding area 20 00:01:04,065 --> 00:01:08,110 but other downstream regions as well all elements need to be considered 21 00:01:09,001 --> 00:01:11,067 informing the drought classification 22 00:01:11,076 --> 00:01:14,157 briefly let's look at the different classes and what they mean 23 00:01:15,057 --> 00:01:18,074 d0 indicates abnormally dry conditions 24 00:01:18,074 --> 00:01:21,083 you might expect to see the slowing of plant growth if you're heading 25 00:01:21,083 --> 00:01:24,146 into a time drought or fields not quite recovered if you're coming 26 00:01:25,046 --> 00:01:27,092 out more extreme conditions 27 00:01:27,092 --> 00:01:31,144 the one would indicate moderate drought conditions you may notice lower strain 28 00:01:32,044 --> 00:01:36,047 Lake and well levels and perhaps some damage to crops there maybe request 29 00:01:36,074 --> 00:01:38,159 curb water usage from local authorities 30 00:01:39,059 --> 00:01:43,125 D two levels indicate severe drought now those requests to curb water 31 00:01:44,025 --> 00:01:47,063 would likely move into actual water restrictions you could expect water 32 00:01:47,063 --> 00:01:51,087 shortages with a good chance damage crops and pastures 33 00:01:51,087 --> 00:01:54,136 the three levels would be considered extreme drought 34 00:01:55,036 --> 00:01:58,099 water shortages the restrictions would be widespread in major crop and pasture 35 00:01:58,099 --> 00:02:00,106 losses would be in it 36 00:02:01,069 --> 00:02:04,142 d4 its classified as exceptional drought 37 00:02:05,042 --> 00:02:08,047 at this point you can expect depleting reservoirs and aquifers 38 00:02:08,047 --> 00:02:11,130 water shortages what time to emergency levels you can expect lower and the 39 00:02:12,003 --> 00:02:13,007 streams and lakes 40 00:02:13,034 --> 00:02:17,108 affecting not only agriculture but fish and wildlife as well 41 00:02:18,008 --> 00:02:21,013 now that we haven't overview of the categories let's add some statistics to 42 00:02:21,058 --> 00:02:22,079 further our understanding 43 00:02:22,079 --> 00:02:25,086 as you see each category has a percentile range 44 00:02:25,086 --> 00:02:26,125 associated with it 45 00:02:27,025 --> 00:02:32,059 for example d1 drought conditions is in the 11th to 20th percentile 46 00:02:32,059 --> 00:02:35,148 looking at it another way if we look at a hundred years have precipitation data 47 00:02:36,048 --> 00:02:39,197 and lined up the values order from lowest to highest 48 00:02:39,629 --> 00:02:42,724 he would then need to see a value that fall somewhere between the 11th 49 00:02:43,579 --> 00:02:46,643 and 20th on the list and order for it to be considered d1 50 00:02:47,219 --> 00:02:51,290 43 drought conditions or 3rd to 5th percentile 51 00:02:51,029 --> 00:02:54,032 the value would need to fall between the third and fifth lowest 52 00:02:54,059 --> 00:02:57,125 on record we can describe each category this way 53 00:02:58,025 --> 00:03:01,098 by how often we would expect to see these conditions one out of every three 54 00:03:01,098 --> 00:03:02,417 years for d0 55 00:03:03,299 --> 00:03:07,290 all the way to one out of every fifty years for d4 56 00:03:07,029 --> 00:03:10,061 however just because a hundred year drought is expected once in a hundred 57 00:03:10,061 --> 00:03:10,129 years 58 00:03:11,029 --> 00:03:14,123 doesn't mean you'll get that drought every 100 years like clockwork 59 00:03:15,023 --> 00:03:19,024 it's possible to have Q hundred-year droughts in a very short time span 60 00:03:19,033 --> 00:03:22,059 or not the C-one for over 200 years 61 00:03:22,059 --> 00:03:25,708 let's look at this example a hundred and twenty years annual precipitation values 62 00:03:26,239 --> 00:03:27,610 from western Colorado 63 00:03:27,061 --> 00:03:31,094 as you can see p4 conditions only occurred two to three times 64 00:03:31,094 --> 00:03:35,097 over this hundred and twenty year period but to have them happen within about 25 65 00:03:35,097 --> 00:03:35,194 years of each other 66 00:03:36,094 --> 00:03:39,139 if droughts were to become more frequent and more severe 67 00:03:40,039 --> 00:03:43,748 those observations would be added to the climate record which would then change 68 00:03:44,099 --> 00:03:46,650 what we may expect 69 00:03:46,065 --> 00:03:49,103 the severity of drought can increase over time as factors contributing to 70 00:03:50,003 --> 00:03:50,932 drought compound 71 00:03:50,959 --> 00:03:54,970 that's why the statistics are valuable they let us know what to expect 72 00:03:55,069 --> 00:03:58,450 working at least show us how often these events may occur 73 00:03:58,045 --> 00:04:01,070 those forecast up developing drought not yet been perfected 74 00:04:01,007 --> 00:04:04,016 accurate depiction of current conditions and/or trends 75 00:04:04,709 --> 00:04:08,010 along with a keen awareness and local climate conditions can serve as an 76 00:04:08,001 --> 00:04:10,120 effective drought early warning system 77 00:04:10,129 --> 00:04:13,400 for resource managers and decision makers 78 00:04:13,004 --> 00:04:16,036 here's something worth considering different classes of drought mean 79 00:04:16,072 --> 00:04:16,151 different things 80 00:04:17,051 --> 00:04:20,105 in different places and the effects can be drastically different as well 81 00:04:21,005 --> 00:04:25,094 id3 extreme drought in the nevada desert looks very different from a d3 extreme 82 00:04:25,094 --> 00:04:26,132 drought in the middle of Kansas 83 00:04:27,032 --> 00:04:32,081 affecting tourism in one place while agricultural and the others for instance 84 00:04:32,081 --> 00:04:35,110 it's also important to point out that individual factors may vary greatly 85 00:04:36,001 --> 00:04:36,088 throughout our region 86 00:04:36,097 --> 00:04:39,184 which makes assigning the drought category challenging process take upper 87 00:04:40,084 --> 00:04:41,178 Colorado River Basin as an example 88 00:04:42,078 --> 00:04:46,104 it may show snowpack at D three levels streams ad0 89 00:04:47,004 --> 00:04:51,253 and the reservoirs and aquifers may not be within drought range at all 90 00:04:51,289 --> 00:04:54,361 elevation because a huge disparity in Leicester such as high snowpack in upper 91 00:04:55,009 --> 00:04:55,600 mountains 92 00:04:55,006 --> 00:04:56,098 but very dry valleys 93 00:04:57,052 --> 00:05:00,139 and in more variables such as natural forests grasslands and human managed 94 00:05:01,039 --> 00:05:01,094 landscape 95 00:05:01,094 --> 00:05:04,161 all responding to dry out quite differently then you start to see why 96 00:05:05,061 --> 00:05:07,076 such a balanced and integrated approach 97 00:05:07,076 --> 00:05:11,098 if needed when establishing drought categories this is a concept called 98 00:05:11,098 --> 00:05:13,189 a convergence a evidence approach 99 00:05:14,089 --> 00:05:17,174 these maps are as detailed as reasonably possible down to about the single county 100 00:05:18,074 --> 00:05:18,113 level 101 00:05:19,013 --> 00:05:22,069 the more quality on-the-ground reports we receive from you 102 00:05:22,069 --> 00:05:25,094 the better the resolution of these maps get and as you see 103 00:05:25,094 --> 00:05:28,127 the quality of these maps have been improving over time however 104 00:05:29,027 --> 00:05:33,029 we can't yet fully depict the remarkable local variability of precipitation 105 00:05:33,029 --> 00:05:36,125 especially from localized thunderstorms in the end 106 00:05:37,025 --> 00:05:40,032 these quantitative values must be judged by experts and locals in the area 107 00:05:40,095 --> 00:05:43,113 to provide a classification based on a convergence of evidence 108 00:05:44,013 --> 00:05:47,026 taking an additional considerations such as the time of year 109 00:05:47,026 --> 00:05:50,071 overall climbing up the area that's why each week 110 00:05:50,071 --> 00:05:53,078 all of the information is gathered discussed an assist 111 00:05:53,078 --> 00:05:56,154 to get in overall picture but any one region on what drought category 112 00:05:57,054 --> 00:05:58,100 you maybe improve